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The work we do has an impact on millions of lives, and you can be a part of it.

We help protect our customers against life’s uncertainties. Regardless of where you work within the company, you’ll be helping provide protection and peace of mind when our customers need it most.

In this role, you will work as part of the IT Planning and Engagement team under the direction of the Enterprise Analyst leadership. A self-motivated individual with exceptional communication, teamwork and an ability and desire to assist in fostering a collaborative and continuous-improvement environment is critical to the success of this role.  As part of this team, you will have an opportunity to work in an agile team environment and will gain skills to support across teams in the IT Planning & Engagement organization.

An ideal candidate is someone who can leverage strong technical skills and business knowledge to contribute to the team. They must be a self-starter, have an inquisitive nature, and possess a strong aptitude to pick up new skills and knowledge through research, perseverance, and training.  They must be adaptable to an ever-changing environment, as well as being able to think outside the box to provide innovative solutions. They will play a significant role on the IT teams they are part of by understanding business requests and refining them into technical requirements for development, as well as developing test cases and performing testing.

This position requires strong analytical, complex problem-solving, and organizational skills, while maintaining a sense of urgency to meet individual and team deadlines and goals. This person should show an inquisitive nature, seek improvements, and demonstrate strong accuracy and attention to detail.

Responsibilities:

•    Lead coordination with customers to elicit and translate business needs into detailed functional requirements, then collaborate with development team to design and transition functional requirements into technical solution

•    Develop a trusting relationship with customers to better support the business areas on enhancement requests and system-related issues

•    Continuously explore new technologies to further facilitate discussions on how they could be used to make our processes more efficient

•    Test user stories and ensure all acceptance criteria is met, which may include creating/running queries to generate, validate, and analyze data from various applications

•    Work within an agile environment following sprint commitments and release schedules

•    Acts as a resource to help define the scope and objectives of moderately complex system-related projects using various analysis, research and fact-finding techniques, and evaluates the proposed new systems or enhancements for estimates and feasibility

•    Creates, maintains and coordinates updates to moderately complex critical system data elements and configurable applications, including rules, values, tables and output with little or no development resource assistance

•    Prepares end-user procedures and manuals and provides end-user training for moderately complex new or changed system functionality

•    Mentors and trains team members on technology, as well as best practices and standards

Knowledge, Skills, Attributes:

•    Strong aptitude to pick up new skills and knowledge through research and perseverance

•    The adaptability to work in an ever-changing and dynamic environment and works well under deadlines and pressure

•    Ability to support multiple IT teams and projects simultaneously

•    Ability to think outside the box to provide innovative solutions

•    Self-starter that can initiate research and/or contact with others to solve issues

•    Exceptional interpersonal skills, including teamwork, facilitation, and collaboration across teams/departments

•    Proven complex problem solving and analytical thinking and ability to approach problems logically and systematically

•    Excellent written and verbal communication skills

•    Willingness and ability to assist with change management

•    Experience mentoring

•    Ability to travel as needed

Work Experience, Education, Certification/Training (Required):

•    Bachelor’s degree in a technical or business-related field or equivalent work experience

•    Minimum 5+ years’ experience as a Business Systems Analyst or relatable position

•    Experience working with business units to define needs, provide analysis and document consequences of change

•    Experience collaborating with internal IT teams to define and design application solutions that meet the customer needs and IT best practices

Work Experience, Education, Certification/Training (Desired):

•    Experience with Agile methodology and proven ability to transform complex problems into stories

•    Working knowledge of various coding languages, including the following: SQL, C#, or JS

•    Working knowledge of various software platforms, including: Microsoft Dynamics and Power Apps, NICE/Amelia, OpenText, Solimar, CMOD, Hyland OnBase, Microsoft Power BI

•    Understands the moderately complex data structure and database schemas

$76,500 - $112,000 a year

Protective’s targeted salary range for this position is $76,500 to $112,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective’s total compensation package for employees.

This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance.

Employee Benefits:

We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits (e.g., paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health.  Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective’s platform to improve wellbeing while earning cash rewards.

Eligibility for certain benefits may vary by position in accordance with the terms of the Company’s benefit plans.

Accommodations for Applicants with a Disability:

If you require an accommodation to complete the application and recruitment process due to a disability, please email [email protected]. This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process.

Please note that the above email is solely for individuals with disabilities requesting an accommodation.  General employment questions should not be sent through this process.

We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The Sr. Workforce Analyst plays a critical role in ensuring Contact Center Operations for US Lifestyle and Global Housing can consistently meet client contractual Service Level Agreements (SLAs).

Since 2015, Mejuri has reimagined what fine jewelry can be in a modern world—shifting it from a traditional gift to to a personal choice rooted in self-expression.

Founded by third-generation jeweller Noura Sakkijha, the brand was built on a simple idea: fine jewelry shouldn’t require a special occasion, and it should never come with guilt. It’s about celebrating yourself—your style, your life, your everyday.

Mejuri meets customers where they are—online, in app, and through a growing global retail footprint of 58+ stores worldwide. Mejuri is also deeply committed to doing things the right way, with responsible sourcing, sustainable practices, and philanthropic initiatives that reflect our values and long-term vision.

Job Overview

As a Senior Allocation Analyst at Mejuri, you will be part of the Merchandising team and act as the analytical engine of retail allocation.  As we sharpen how every door in our retail fleet performs, this role will impact how we turn door-level performance into the allocation and replenishment decisions that put the right product, in the right depth, in the right store, at the right time. You will directly impact how we drive sell-through, protect margin, and optimizing our fleet

You are an analytical self-starter who is equally at home in the data and in the room with Merchandising and Planning. You don’t just move units — you build the intelligence layer that explains how every door behaves, and you use it to make sharper allocation calls than the fleet has ever made before.

What you’ll do

Door & fleet analysis (the core of the role)

• Own door-level performance analysis — sell-through, rate of sale, weeks of supply, in-stock rate, and productivity at the style, category, and price-point level.
• Build and maintain store clusters and tiers, grouping doors by volume, productivity, capacity, and customer profile — and running the seasonal cluster resets as the fleet and assortment evolve.
• Build the door- and cluster-level view of assortment productivity — where breadth and depth are over- or under-performing — and bring it forward to inform Merchandising’s assortment decisions; own the model-stock and depth targets that flow from the assortments they set.
• Diagnose out-of-stocks and lost sales by door and variant, quantifying demand-transfer and revenue impact to prioritize replenishment and rebalancing.
• Develop comparable-door and comparable-style analysis to benchmark performance and to seed demand for new products and doors.

Allocation & replenishment

• Allocate and replenish product to doors against assortments, cluster minimums, capacity, and financial targets — balancing service level against excess and aged-inventory risk, and running rebalancing and inter-store transfers to chase demand.
• Own initial allocation for newness and new store openings — run the weekly product-drop cadence (allocation, store assortment updates, launch tracking), seed new launches with test-and-scale reads that inform go-forward depth, set opening buys for new doors as the fleet scales, and flag launch and delay risk early.
• Manage clearance and lifecycle transitions — size end-of-life and clearance exits by door, and execute material and assortment transitions and discontinued-product flow-through.
• Balance inventory across channels and nodes — store, web, DC, and concessions — positioning and pooling stock to protect service levels and enable fulfillment flexibility such as ship-from-store.
• Allocate across global markets — factoring the different lead times, sales shapes, and market requirements of the US, Canada, UK, and AU into depth and flow by region.
• Optimize depth, pack, and size-curve logic by door (e.g., ring sizes, chain lengths) so the right quantities and variants land where they sell.

Data, insight & process

• Own allocation master data and system hygiene — maintaining min/safety stock, model stock, and cluster assortments, and safeguarding the integrity of weekly reconciliation and file uploads.
• Build and refine scalable allocation, replenishment, and reporting tools and models that grow with the business.
• Close the loop with post-season hindsight — reviewing allocation effectiveness (did depth land where it sold? forecast vs. actual by cluster and door?) and feeding the read back into the next allocation cycle.
• Bring the allocation point of view to cross-functional forums — S&OP, business reviews, pre-season planning, and launch-risk and new-store-opening meetings — so inventory positioning shapes decisions rather than just executing after them.
• Translate analysis into clear, headline-first recommendations for Merchandising, Planning, and Retail leadership, and run the weekly reporting rhythm that shows where the fleet is winning, where it’s leaking, and what to do about it.
• Set the standard for how allocation gets done — codify best practices, level up the tools and process, and act as the go-to resource who mentors and unblocks more junior planners, even without direct reports.

What you’ll bring to the team

• 4–6 years of experience in retail allocation, merchandise planning, or inventory analysis in a fast-paced, multi-door retail environment.
• A strong analytical toolkit: advanced Excel (comfortable building models from scratch), plus fluency — or a fast ramp — in SQL and BI tools (Looker, Tableau, Omni, or similar) to work with door-level data at scale.
• Comfort with — or genuine curiosity about — AI-assisted modeling and analytics tools, and a drive to use them to build smarter, faster allocation logic.
• A diagnostic mindset — you’re drawn to the why behind door performance, not just the mechanics of pushing units.
• Command of the metrics allocation drives — sell-through, rate of sale, weeks of supply, in-stock %, and inventory turn.
• Strong attention to data integrity — comfortable owning the master data, parameters, and files the allocation engine runs on.
• Clear, confident communication — you can make a data story land with senior stakeholders without the jargon.
• Comfort creating structure and process.
• Enthusiasm for Mejuri’s mission; experience in retail, fashion, or jewelry is a strong asset.
• We’re building an AI-fluent organization. We welcome candidates at all stages of their AI journey — what matters is curiosity, a willingness to learn, and an openness to working alongside AI tools as part of how we do our best work.

Benefits at Mejuri:

• A minimum of four weeks vacation, plus personal days and three religious/cultural observance days.
• A hybrid work model for all corporate roles
• ‘Mejuri Passport’ which allows employees who meet specific criteria to work in other locations for one month per year.
• Comprehensive medical and dental benefits, including mental health coverage, and generous personal and sick days for our full-time employees. We also offer bereavement leave, including miscarriage and stillbirth support.
• Parental leave salary top-up of up to 80%, as well as a personalized return-to-work transition and accommodation plan for full-time employees.
• A generous product discount!

Please note that these benefits apply to full-time employees.

Location

Toronto, Ontario

60 Bloor Street W

Hybrid; 3 days in office 2 days remote

At Mejuri we embrace a hybrid working environment and support our corporate employees to be successful whether they are at home or in the office. The primary purpose of our offices is to drive collaboration and deepen relationships with one another.This position requires in office work 3 days a week and remote work 2 days a week. Our office is located at 60 Bloor Street W, Toronto.

Salary 70K-90K

Looking for the perfect next opportunity is a big decision. Mejuri recognizes the importance of pay transparency when it comes to salary ranges as it empowers individuals through the hiring process and supports them in making an informed decision. This role currently has a base pay range of 70-90K per annum based on a candidate’s experience and qualifications. We will review individual salary expectations and **weight salary commensurate with experience.

At Mejuri, we use AI-assisted tools as part of our recruitment process to help screen and assess candidate applications. All hiring decisions involve human review, and our Talent team remains responsible for evaluating candidates and making final decisions throughout the process.

#LI-Onsite

At Mejuri our success is driven by a strong commitment to our Purpose and Values. They’re the foundation of our operations, defining how we show up, solve problems, and accomplish incredible things—together.

Our strength comes from each team member’s dedication to embracing and embodying these Values daily. This isn’t merely a duty; it’s a passion that defines us. They guide us in providing extraordinary experiences for our customers and fostering an innovative environment. Success, for us, means living our values relentlessly.

Our values are:

RAISE THE BAR | Stay Curious, Share/Seek Feedback, and Strive for Excellence

CUSTOMER OBSESSED | Get close to the customer and prioritize them in our decisions

EMPOWERED OWNERS | Treat the company like your own, take initiative

FIND A WAY | Seek simple, creative solutions, and act fast

DRIVE RESULTS | Be clear on your goals and be relentless in achieving them

TEAM FIRST | Value team success over personal ego

Accommodation / Accessibility:

Mejuri does not discriminate in hiring or terms and conditions of employment because of an individual’s race, ancestry, colour, place of origin, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, family status or marital status, or any other protected category recognized by provincial or federal laws.

Should you require any accommodation, please inform us and we will work with you to meet your accessibility needs. For any accessibility-related assistance, requests for information in accessible alternative formats or to report any accessibility problems, please share in your application.

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

About the Role:

As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.

As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.

Your Impact:

• Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
• Communicating with fellow data scientists, product owners, and developers
• Applying best software engineering practices to build a reliable codebase
• Performing code reviews
• Working in agile environment and presenting the results of your work on regular sprint reviews

Your Qualifications:

• 4+ years of experience in AI,  Data Science, and Machine learning
• Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
• Experience in building complex multipart and multistep LLM-based and ML systems
• Proficiency in Python (including pure Python, and not only jupyter notebooks)
• Experience in using reproducible research techniques
• Experience in developing AI solutions for production usage
• Full professional proficiency in English

Standout Qualities:

• Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
• Confident statistical and machine learning skills
• Experience in creating core AI systems that are foundational to the product and are used in many parts of it
• Experience in classical software development and architecture

Interpersonal skills:

• Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
• You are proactively pushing yourself to develop your skills and knowledge
• Decision making and argumentation skills
• Open to feedback and ready to react on it
• Ability to work autonomously on a project level

Our Work Style:

• Code: Python, Jupyter, mypy, uv, black, flake8
• Data: pandas, SQL, BigQuery
• GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
• LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
• ML: scikit-learn, lightgbm, pytorch
• Cloud: GCP, Dagster, MLFlow
• Coding Agents: Claude Code, Codex, Cursor

Team Dynamics:

As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.

Why Join Wrike?

• 5 Weeks of paid vacation
• Sick Leave Compensation
  • 5 Paid Uncertified Sick Days
  • 2 weeks fully paid w/ medical certificate, additional
  • 4 weeks paid at 80% salary rate
• Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Meal Vouchers (CZK 220 per working day)
• Annual Prague Travel Card (Lítačka)
• Hybrid Working Model
• Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus

What’s Next?

• Introduction Call with a Recruiter
• Technical interview
• Cultural interview

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.

#LI-AV1

Who Is Wrike and Our Culture

We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.

Hybrid work mode

Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.

While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.

Our persona

💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.

💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!

🤗  Approachable: We’re friendly, easy to get along with, considerate, and helpful.

Our culture and Values

🤩 Customer-Focused

We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.

🤝 Collaborative

We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.

🎨 Creative

We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.

💪 Committed

We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.

Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

About the Role:

As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.

As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.

Your Impact:

• Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
• Communicating with fellow data scientists, product owners, and developers
• Applying best software engineering practices to build a reliable codebase
• Performing code reviews
• Working in agile environment and presenting the results of your work on regular sprint reviews

Your Qualifications:

• 4+ years of experience in AI,  Data Science, and Machine learning
• Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
• Experience in building complex multipart and multistep LLM-based and ML systems
• Proficiency in Python (including pure Python, and not only jupyter notebooks)
• Experience in using reproducible research techniques
• Experience in developing AI solutions for production usage
• Full professional proficiency in English

Standout Qualities:

• Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
• Confident statistical and machine learning skills
• Experience in creating core AI systems that are foundational to the product and are used in many parts of it
• Experience in classical software development and architecture

Interpersonal skills:

• Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
• You are proactively pushing yourself to develop your skills and knowledge
• Decision making and argumentation skills
• Open to feedback and ready to react on it
• Ability to work autonomously on a project level

Our Work Style:

• Code: Python, Jupyter, mypy, uv, black, flake8
• Data: pandas, SQL, BigQuery
• GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
• LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
• ML: scikit-learn, lightgbm, pytorch
• Cloud: GCP, Dagster, MLFlow
• Coding Agents: Claude Code, Codex, Cursor

Team Dynamics:

As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.

Why Join Wrike?

• 5 Weeks of paid vacation
• Sick Leave Compensation
  • 5 Paid Uncertified Sick Days
  • 2 weeks fully paid w/ medical certificate, additional
  • 4 weeks paid at 80% salary rate
• Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Meal Vouchers (CZK 220 per working day)
• Annual Prague Travel Card (Lítačka)
• Hybrid Working Model
• Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus

What’s Next?

• Introduction Call with a Recruiter
• Technical interview
• Cultural interview

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.

#LI-AV1

Who Is Wrike and Our Culture

We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.

Hybrid work mode

Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.

While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.

Our persona

💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.

💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!

🤗  Approachable: We’re friendly, easy to get along with, considerate, and helpful.

Our culture and Values

🤩 Customer-Focused

We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.

🤝 Collaborative

We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.

🎨 Creative

We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.

💪 Committed

We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.

Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.

Since 2015, Mejuri has reimagined what fine jewelry can be in a modern world—shifting it from a traditional gift to to a personal choice rooted in self-expression.

Founded by third-generation jeweller Noura Sakkijha, the brand was built on a simple idea: fine jewelry shouldn’t require a special occasion, and it should never come with guilt. It’s about celebrating yourself—your style, your life, your everyday.

Mejuri meets customers where they are—online, in app, and through a growing global retail footprint of 58+ stores worldwide. Mejuri is also deeply committed to doing things the right way, with responsible sourcing, sustainable practices, and philanthropic initiatives that reflect our values and long-term vision.

Job Overview

As a Senior Allocation Analyst at Mejuri, you will be part of the Merchandising team and act as the analytical engine of retail allocation.  As we sharpen how every door in our retail fleet performs, this role will impact how we turn door-level performance into the allocation and replenishment decisions that put the right product, in the right depth, in the right store, at the right time. You will directly impact how we drive sell-through, protect margin, and optimizing our fleet

You are an analytical self-starter who is equally at home in the data and in the room with Merchandising and Planning. You don’t just move units — you build the intelligence layer that explains how every door behaves, and you use it to make sharper allocation calls than the fleet has ever made before.

What you’ll do

Door & fleet analysis (the core of the role)

• Own door-level performance analysis — sell-through, rate of sale, weeks of supply, in-stock rate, and productivity at the style, category, and price-point level.
• Build and maintain store clusters and tiers, grouping doors by volume, productivity, capacity, and customer profile — and running the seasonal cluster resets as the fleet and assortment evolve.
• Build the door- and cluster-level view of assortment productivity — where breadth and depth are over- or under-performing — and bring it forward to inform Merchandising’s assortment decisions; own the model-stock and depth targets that flow from the assortments they set.
• Diagnose out-of-stocks and lost sales by door and variant, quantifying demand-transfer and revenue impact to prioritize replenishment and rebalancing.
• Develop comparable-door and comparable-style analysis to benchmark performance and to seed demand for new products and doors.

Allocation & replenishment

• Allocate and replenish product to doors against assortments, cluster minimums, capacity, and financial targets — balancing service level against excess and aged-inventory risk, and running rebalancing and inter-store transfers to chase demand.
• Own initial allocation for newness and new store openings — run the weekly product-drop cadence (allocation, store assortment updates, launch tracking), seed new launches with test-and-scale reads that inform go-forward depth, set opening buys for new doors as the fleet scales, and flag launch and delay risk early.
• Manage clearance and lifecycle transitions — size end-of-life and clearance exits by door, and execute material and assortment transitions and discontinued-product flow-through.
• Balance inventory across channels and nodes — store, web, DC, and concessions — positioning and pooling stock to protect service levels and enable fulfillment flexibility such as ship-from-store.
• Allocate across global markets — factoring the different lead times, sales shapes, and market requirements of the US, Canada, UK, and AU into depth and flow by region.
• Optimize depth, pack, and size-curve logic by door (e.g., ring sizes, chain lengths) so the right quantities and variants land where they sell.

Data, insight & process

• Own allocation master data and system hygiene — maintaining min/safety stock, model stock, and cluster assortments, and safeguarding the integrity of weekly reconciliation and file uploads.
• Build and refine scalable allocation, replenishment, and reporting tools and models that grow with the business.
• Close the loop with post-season hindsight — reviewing allocation effectiveness (did depth land where it sold? forecast vs. actual by cluster and door?) and feeding the read back into the next allocation cycle.
• Bring the allocation point of view to cross-functional forums — S&OP, business reviews, pre-season planning, and launch-risk and new-store-opening meetings — so inventory positioning shapes decisions rather than just executing after them.
• Translate analysis into clear, headline-first recommendations for Merchandising, Planning, and Retail leadership, and run the weekly reporting rhythm that shows where the fleet is winning, where it’s leaking, and what to do about it.
• Set the standard for how allocation gets done — codify best practices, level up the tools and process, and act as the go-to resource who mentors and unblocks more junior planners, even without direct reports.

What you’ll bring to the team

• 4–6 years of experience in retail allocation, merchandise planning, or inventory analysis in a fast-paced, multi-door retail environment.
• A strong analytical toolkit: advanced Excel (comfortable building models from scratch), plus fluency — or a fast ramp — in SQL and BI tools (Looker, Tableau, Omni, or similar) to work with door-level data at scale.
• Comfort with — or genuine curiosity about — AI-assisted modeling and analytics tools, and a drive to use them to build smarter, faster allocation logic.
• A diagnostic mindset — you’re drawn to the why behind door performance, not just the mechanics of pushing units.
• Command of the metrics allocation drives — sell-through, rate of sale, weeks of supply, in-stock %, and inventory turn.
• Strong attention to data integrity — comfortable owning the master data, parameters, and files the allocation engine runs on.
• Clear, confident communication — you can make a data story land with senior stakeholders without the jargon.
• Comfort creating structure and process.
• Enthusiasm for Mejuri’s mission; experience in retail, fashion, or jewelry is a strong asset.
• We’re building an AI-fluent organization. We welcome candidates at all stages of their AI journey — what matters is curiosity, a willingness to learn, and an openness to working alongside AI tools as part of how we do our best work.

Benefits at Mejuri:

• A minimum of four weeks vacation, plus personal days and three religious/cultural observance days.
• A hybrid work model for all corporate roles
• ‘Mejuri Passport’ which allows employees who meet specific criteria to work in other locations for one month per year.
• Comprehensive medical and dental benefits, including mental health coverage, and generous personal and sick days for our full-time employees. We also offer bereavement leave, including miscarriage and stillbirth support.
• Parental leave salary top-up of up to 80%, as well as a personalized return-to-work transition and accommodation plan for full-time employees.
• A generous product discount!

Please note that these benefits apply to full-time employees.

Location

Toronto, Ontario

60 Bloor Street W

Hybrid; 3 days in office 2 days remote

At Mejuri we embrace a hybrid working environment and support our corporate employees to be successful whether they are at home or in the office. The primary purpose of our offices is to drive collaboration and deepen relationships with one another.This position requires in office work 3 days a week and remote work 2 days a week. Our office is located at 60 Bloor Street W, Toronto.

Salary 70K-90K

Looking for the perfect next opportunity is a big decision. Mejuri recognizes the importance of pay transparency when it comes to salary ranges as it empowers individuals through the hiring process and supports them in making an informed decision. This role currently has a base pay range of 70-90K per annum based on a candidate’s experience and qualifications. We will review individual salary expectations and **weight salary commensurate with experience.

At Mejuri, we use AI-assisted tools as part of our recruitment process to help screen and assess candidate applications. All hiring decisions involve human review, and our Talent team remains responsible for evaluating candidates and making final decisions throughout the process.

#LI-Onsite

At Mejuri our success is driven by a strong commitment to our Purpose and Values. They’re the foundation of our operations, defining how we show up, solve problems, and accomplish incredible things—together.

Our strength comes from each team member’s dedication to embracing and embodying these Values daily. This isn’t merely a duty; it’s a passion that defines us. They guide us in providing extraordinary experiences for our customers and fostering an innovative environment. Success, for us, means living our values relentlessly.

Our values are:

RAISE THE BAR | Stay Curious, Share/Seek Feedback, and Strive for Excellence

CUSTOMER OBSESSED | Get close to the customer and prioritize them in our decisions

EMPOWERED OWNERS | Treat the company like your own, take initiative

FIND A WAY | Seek simple, creative solutions, and act fast

DRIVE RESULTS | Be clear on your goals and be relentless in achieving them

TEAM FIRST | Value team success over personal ego

Accommodation / Accessibility:

Mejuri does not discriminate in hiring or terms and conditions of employment because of an individual’s race, ancestry, colour, place of origin, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, family status or marital status, or any other protected category recognized by provincial or federal laws.

Should you require any accommodation, please inform us and we will work with you to meet your accessibility needs. For any accessibility-related assistance, requests for information in accessible alternative formats or to report any accessibility problems, please share in your application.

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept...

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept...

Code for America believes government can work for the people, by the people, in the new digital age, and that government at all levels can and should work well for all people. For more than a decade, we’ve worked to show that with the mindful use of technology, we can break down barriers, meet community needs, and find real solutions.

Our employees build and transform government and community tools and services, making them so good they inspire change. We merge the best parts of technology, nonprofit, and government to help support the people who need it most.

With a focus on transparency and fairness, and deep empathy for partners in government and community organizations and the people that our partners serve, we’re building a movement of motivated change agents driven by meaningful results and lasting impact.

At Code for America, you contribute to exciting work while learning and developing in a supportive and flexible environment. Our compensation and benefits are holistic and thoughtfully curated to represent our employees and our mission. Help us drive real generational change that lasts.

Code for America is seeking a talented Staff Data Scientist to play a pivotal role in maximizing our organization-wide impact. In this role, you will manage and analyze the complex data our products collect, design and evaluate advanced AI- and data-driven solutions, and rigorously measure the effectiveness of our programs. By answering quantitative questions clearly and intuitively, you will bridge the gap between technical data and both internal and external audiences.

Grounding your work in real-world impact, you will utilize data and analysis to identify user needs, better informing product development. You will work cross-functionally across the organization to clearly communicate insights that support continuous service improvement and ensure our tools deliver meaningful value.

Beyond your technical contributions, you will serve as a collaborative leader on the Data Science team. You will actively contribute to a successful team environment and champion data science best practices, ensuring high standards for data integrity and innovation across all of our initiatives.

About the role:

Code for America’s Data Scientists bring analytic and modeling expertise to drive meaningful improvements in outcomes across the tax, criminal justice, and safety net services that Code for America delivers. In this role, you will lead complex, high-impact projects from end to end - applying rigorous data analysis, developing predictive models, and collaborating closely with cross-functional teams to drive data-informed decisions. To do so, you will work closely with cross-functional teams including qualitative researchers, designers, software engineers, product managers, program managers, and client success staff, ensuring that insights translate into actionable improvements. You will play an important part in shaping how we use data to design equitable, effective government services that meet people where they are.

The ideal candidate will have a strong background in data science and analytics, generative AI, and experience leading projects in cross-functional, mission-driven environments.

This role will report to the Data Science Manager and is expected to travel no more than 10% of the time.

Code for America is based in California and can employ those who reside full-time within the United States. This is a remote position.

Code for America seeks a talented Staff Data Scientist who will help rigorously measure our impact, manage and analyze the data our products collect, and answer complex quantitative questions clearly and intuitively for internal and external audiences.

In this position you will:

• Core Data Science Work
  • Conduct descriptive data analysis using case, survey, and event data to identify and size problems. Collaborate with cross-functional partners to identify potential improvements
  • Develop and implement key metrics to measure the effectiveness and impact of our products and services
  • Apply AI/ML techniques in collaboration with cross-functional teams to improve the delivery of products and services
  • Analyze administrative and public data to estimate the impact of proposed changes.
  • Create and maintain dashboards and visualizations to communicate key insights to stakeholders
  • Build and maintain evaluation pipelines to monitor AI system performance and turn results into prompt, model, and design improvements
  • Clean, combine, and make sense of diverse administrative data.
• Understanding Stakeholder Needs
  • Investigate the barriers people face in applying for and keeping benefits.
  • Work with qualitative researchers to generate hypotheses about how to help our users.
  • Make use of past findings internally, from agencies, and from outside researchers to help strategically guide projects.
  • Work with program, product, engineering, and design to identify where our analytics and AI capacity will be most impactful.
• Project Management and Documentation
  • Break down, estimate, and prioritize tasks with a good architectural/systems perspective
  • Lead and deliver on medium to large size projects
  • Create and maintain technical documentation for data science projects and models
  • Communicate project status, risks, and outcomes to technical and non-technical stakeholders
• Coaching and Mentoring
  • Mentor other data scientists on the team
  • Contribute to the development of data science best practices and standards
• Other duties as assigned

About you:

This position is a perfect fit for a highly analytical, collaborative data scientist who is passionate about using data to drive social impact and is comfortable leading complex projects, mentoring others, and working closely with cross-functional teams.

• At least 6 years as a data scientist or equivalent
• Expert in Python or R, SQL
• Fluency with product analytics - defining, implementing, analyzing and communicating software product metrics.
• Experience with collaborative coding tools such as Github or notebooks (RMarkdown, Hex, Google Collab, Jupyter)
• Experience with Metabase or similar business intelligence tools (e.g., Tableau, Power BI, Looker) for creating dashboards and reports for the organization
• Experience with machine learning frameworks and libraries such as PyTorch, scikit-learn, Tensor Flow, etc.
• Experience with large language models, knowledge of prompt engineering and working with APIs of large-scale generative AI models
• Solid understanding of a wide range of statistical concepts and methods.
• Excellent written and verbal communication skills, with the ability to clearly communicate findings to both technical and general audiences
• Excellent collaboration skills, with a demonstrated ability to manage cross-functional relationships, respond to external stakeholders needs, and facilitate effective decision-making conversations
• Proven ability to work through ambiguous problems, breaking them down into their component steps
• Curiosity about emerging AI tools and a commitment to using them responsibly and effectively

It’s a bonus if you have:

• Personal experience with the justice system, social safety net, workforce training, or other mission-relevant government services.
• Fluency in languages other than English.
• Experience with tax policy and data
• Knowledge of dbt for data transformation and modeling with data warehouses
• Experience with Postgres and cloud-based data warehousing (e.g. BigQuery, Snowflake)

What you’ll get -

Salary:

Code for America’s salary bands are transparent as a part of our commitment to transparency and fairness. As part of our hiring practices, we aim to target the midpoint of the 2nd quartile of the range for all new hires.

Offer targets vary based on market / geographic location. The offer targets for this role range from $128,945 - $157,850, annually. Your Recruiter will discuss compensation in more detail & answer any related questions, during the initial Recruiter phone screen.

Benefits and perks:

This role includes a comprehensive benefits package including the following:

• Values:
  • Leadership and teammates who share a strong work ethic and values, and who respect and care for one another
  • A collaborative, cross-functional, hardworking, and joyful environment
• Employee Enablement Support:
  • Laptop provided
  • A one-time $700 payment for remote environment setup; $200 stipend (in first paycheck) and up to $500 reimbursement, in accordance with our equipment policy
  • Cell phone and/or internet reimbursement of $50 per month
• Professional Development:
  • $500 annual (per calendar year) stipend towards professional development; prorated at time of hire
  • Up to $500 of professional development funds can be rolled over each year, up to a maximum of $1000
  • Training / guidance for staff required to utilize AI as part of their role, plus opportunities for employees to gain AI-related skills to support job and career growth
• Retirement & 401k Plans:
  • Employees receive a 100% employer match on the first 3% of contributions.
  • Employees with 3+ years of service receive an additional 50% match on contributions between 3% and 5%, for a maximum employer contribution of 5%
• Medical:
  • At least one no cost health insurance option for full-time employees for employee-only coverage
  • A minimum of 80% of the cost of dependent coverage
• Remote Work:
  • Code for America employees may work remotely across the US
  • Code for America employees main residence must be within the US
  • Full-time employees work 40 hours per week, Monday - Friday
  • Collaborative working hours: we aim to hold all internal meetings between 10 AM - 3 PM PT. We expect all Code for America staff to be available during these set working hours
• Time Off:
  • Open personal time off ( subject to manager approval), a minimum of 14 paid holidays, and an org-wide closure from Christmas Day through New Year’s Day
  • Paid sick time; up to 96 hours annually
  • 17 weeks of paid parental and family leave
  • 3 weeks of paid sabbatical after 5 years of service

Timeline:

From the time you are contacted by a Recruiter, you can expect a 1-2 month, or longer, hiring process. The specific hiring process and timeline goals for this role will be covered during the initial Recruiter phone screen. Code for America’s standard interview process details are also available on our careers page.

Equal Employment Opportunity:

Code for America is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws.

Code for America Workers United:

This position is covered by a Collective Bargaining Agreement between Code for America and Code for America Workers United, affiliated with OPEIU, Local 1010. The agreement was ratified on January 13, 2026, and is currently in effect.

#LI-MD1

#LI-Remote

About Extend:

Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend’s best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.

Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.

About the Role:

We’re looking for a Senior Analyst to join our Client Insights team and play a key role in how we use data to protect and empower our merchant partners. You’ll sit at the intersection of analytics, product, strategy, sales, and merchant success; the models, reporting, and insights created and owned by this individual will have a direct impact on sales and merchant retention.

Our team is helping build the next-generation of AI-driven post-purchase customer solutions and this role will be instrumental in driving the success of these solutions. This is a high-impact role for someone who’s curious, detail-oriented, and excited about turning data into action.

What You’ll Be Doing:

• Serve as the analytical bridge between Sales and prospective/existing merchants, translating data and analysis into business cases, pricing models, and compelling financial narratives for prospects
• Partner with Merchant Success to build analyses that demonstrate ROI, justify expansion, and support renewal conversations
• Interact with merchants and potential merchants to understand reporting needs, designing and delivering dashboards and performance reports
• Analyze product data and work with the product and engineering teams to drive product improvements and help build the product roadmap
• Partner cross-functionally with the Risk and Data (RAD) team to help inform new fraud analysis and translate that analysis into easy-to-understand reporting and products; stay current on model and product changes, and translate those changes into merchant-facing insights

What We’re Looking For:

• 4-7 years of experience in a business analytics, business intelligence, or TAM role
• Understanding of consumer brands, ecommerce, and important metrics and benchmarks in the industry; ideally you have used data and analysis to drive business decisions at an ecommerce company / consumer brand
• Experience working cross-functionally to drive business and product improvement
• Experience with SQL — you’re comfortable querying large datasets, writing clean, efficient code, and understanding optimal data modeling
• Experience with Snowflake
• Familiarity with Tableau
• Understanding of how to use AI to drive process improvement and drive efficiency across the organization
• Strong communication skills — you can explain data clearly to both technical and non-technical audiences
• A self-starter mindset: you ask good questions, dig into problems independently, and know when to loop others in

Expected Pay Range: $124,000 - $145,000 per year salaried*

*The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.

Life at Extend:

• Working with a great team from diverse backgrounds in a collaborative and supportive environment.
• Competitive salary based on experience, with full medical and dental & vision benefits.
• Stock in an early-stage startup growing quickly.
• Generous, flexible paid time off policy.
• 401(k) with Financial Guidance from Morgan Stanley.

Extend CCPA HR Notice

About Extend:

Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend’s best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.

Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.

About the Role:

We’re looking for a Senior Analyst to join our Client Insights team and play a key role in how we use data to protect and empower our merchant partners. You’ll sit at the intersection of analytics, product, strategy, sales, and merchant success; the models, reporting, and insights created and owned by this individual will have a direct impact on sales and merchant retention.

Our team is helping build the next-generation of AI-driven post-purchase customer solutions and this role will be instrumental in driving the success of these solutions. This is a high-impact role for someone who’s curious, detail-oriented, and excited about turning data into action.

What You’ll Be Doing:

• Serve as the analytical bridge between Sales and prospective/existing merchants, translating data and analysis into business cases, pricing models, and compelling financial narratives for prospects
• Partner with Merchant Success to build analyses that demonstrate ROI, justify expansion, and support renewal conversations
• Interact with merchants and potential merchants to understand reporting needs, designing and delivering dashboards and performance reports
• Analyze product data and work with the product and engineering teams to drive product improvements and help build the product roadmap
• Partner cross-functionally with the Risk and Data (RAD) team to help inform new fraud analysis and translate that analysis into easy-to-understand reporting and products; stay current on model and product changes, and translate those changes into merchant-facing insights

What We’re Looking For:

• 4-7 years of experience in a business analytics, business intelligence, or TAM role
• Understanding of consumer brands, ecommerce, and important metrics and benchmarks in the industry; ideally you have used data and analysis to drive business decisions at an ecommerce company / consumer brand
• Experience working cross-functionally to drive business and product improvement
• Experience with SQL — you’re comfortable querying large datasets, writing clean, efficient code, and understanding optimal data modeling
• Experience with Snowflake
• Familiarity with Tableau
• Understanding of how to use AI to drive process improvement and drive efficiency across the organization
• Strong communication skills — you can explain data clearly to both technical and non-technical audiences
• A self-starter mindset: you ask good questions, dig into problems independently, and know when to loop others in

Expected Pay Range: $124,000 - $145,000 per year salaried*

*The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.

Life at Extend:

• Working with a great team from diverse backgrounds in a collaborative and supportive environment.
• Competitive salary based on experience, with full medical and dental & vision benefits.
• Stock in an early-stage startup growing quickly.
• Generous, flexible paid time off policy.
• 401(k) with Financial Guidance from Morgan Stanley.

Extend CCPA HR Notice

About Extend:

Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend’s best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.

Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.

About the Role:

We’re looking for a Senior Analyst to join our Client Insights team and play a key role in how we use data to protect and empower our merchant partners. You’ll sit at the intersection of analytics, product, strategy, sales, and merchant success; the models, reporting, and insights created and owned by this individual will have a direct impact on sales and merchant retention.

Our team is helping build the next-generation of AI-driven post-purchase customer solutions and this role will be instrumental in driving the success of these solutions. This is a high-impact role for someone who’s curious, detail-oriented, and excited about turning data into action.

What You’ll Be Doing:

• Serve as the analytical bridge between Sales and prospective/existing merchants, translating data and analysis into business cases, pricing models, and compelling financial narratives for prospects
• Partner with Merchant Success to build analyses that demonstrate ROI, justify expansion, and support renewal conversations
• Interact with merchants and potential merchants to understand reporting needs, designing and delivering dashboards and performance reports
• Analyze product data and work with the product and engineering teams to drive product improvements and help build the product roadmap
• Partner cross-functionally with the Risk and Data (RAD) team to help inform new fraud analysis and translate that analysis into easy-to-understand reporting and products; stay current on model and product changes, and translate those changes into merchant-facing insights

What We’re Looking For:

• 4-7 years of experience in a business analytics, business intelligence, or TAM role
• Understanding of consumer brands, ecommerce, and important metrics and benchmarks in the industry; ideally you have used data and analysis to drive business decisions at an ecommerce company / consumer brand
• Experience working cross-functionally to drive business and product improvement
• Experience with SQL — you’re comfortable querying large datasets, writing clean, efficient code, and understanding optimal data modeling
• Experience with Snowflake
• Familiarity with Tableau
• Understanding of how to use AI to drive process improvement and drive efficiency across the organization
• Strong communication skills — you can explain data clearly to both technical and non-technical audiences
• A self-starter mindset: you ask good questions, dig into problems independently, and know when to loop others in

Expected Pay Range: $124,000 - $145,000 per year salaried*

*The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.

Life at Extend:

• Working with a great team from diverse backgrounds in a collaborative and supportive environment.
• Competitive salary based on experience, with full medical and dental & vision benefits.
• Stock in an early-stage startup growing quickly.
• Generous, flexible paid time off policy.
• 401(k) with Financial Guidance from Morgan Stanley.

Extend CCPA HR Notice

We Make Remote Work Remarkable • TopTalent from LatAm

Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.

We need an English-fluent Senior Marketing Data Scientist, based in Latin America, available to work remotely.

We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who’s constantly learning and improving their skills.

Are you the one we are looking for?

Responsibilities:

• Analyze large volumes of customer, CRM, media, healthcare, and behavioral data to identify patterns and business drivers.
• Develop measurement frameworks for pharmaceutical and healthcare marketing initiatives.
• Build segmentation models, behavioral analyses, audience scoring models, attribution methodologies, and predictive analytics solutions.
• Leverage Python, SQL, AI tools, and workflow automation to accelerate analytics delivery.
• Translate complex analytical findings into business language and prepare executive-ready presentations.
• Mentor junior analysts and promote a culture of curiosity, learning, and continuous improvement.
• Act as a trusted analytics partner for Strategy, Media, and Client Services teams.

Requirements:

• 5–8 years of experience in Data Science, Healthcare and Pharma Marketing Analytics, Customer Analytics, Business Intelligence, and Measurement & Attribution.
• Strong preference for candidates with experience in pharmaceutical marketing, healthcare marketing, paid media analytics, CRM and customer engagement analytics, and marketing measurement and attribution.
• Proficiency in Python, SQL, statistical analysis, data modeling, predictive analytics, Power BI, and data transformation and ETL concepts.
• Exceptional English communication skills, including the ability to lead meetings, present complex concepts to non-technical audiences, and produce executive-level insights.
• Comfortable working within U.S. Eastern Time business hours and collaborating with U.S.-based teams.

It’s a Plus:

• Experience with Marketing Mix Modeling (MMM), machine learning, forecasting, Azure ecosystem, AI-assisted analytics workflows, and marketing attribution frameworks.
• Demonstrates characteristics such as curiosity, autonomy, critical thinking, and the ability to navigate ambiguity.

Compensation:

• The Salary range offered for this position varies from (USD) $2,500 - $3,500 per month, depending on seniority and skillset.
• This position is for an independent contractor, through a payroll platform.
• The talent will work REMOTELY allocated at our client.

Here are the steps for this process:

Application review/approval > Screening interview with GoFasti’s team > We build and send your profile to our client > Profile review/approval by client > I nterview with the client > H iring and onboarding.

Application review/approval > Screening interview with GoFasti’s team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Live coding > Hiring and onboarding.

Application review/approval > Screening interview with GoFasti’s team > Technical Assessment > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.

Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process.

Note for Candidates Approached Directly:

If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting.

Thank you!

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

What It’s Like to Work at YipitData:

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals.

From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

• Ownership That Matters: You’ll lead high-impact projects with real business outcomes
• Rapid Growth: We compress years of learning into months
• Merit Over Titles: Trust and responsibility are earned through execution, not tenure
• Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention

If your ambition is matched by your work ethic—and you’re hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.

About The Role:

YipitData’s Corporate team collaborates directly with organizations like Ulta, 3M, and Scotts Miracle-Gro to build one of the most comprehensive views into how consumers in the U.S. are purchasing and engaging with brands. By transforming massive volumes of consumer data into accurate, reliable, and actionable insights, we enable our clients to understand not just what is happening in their businesses, but why—and to use that understanding to make higher-confidence decisions in an increasingly competitive landscape.

As part of our continued growth, we are expanding the Data team within our Corporate practice and are excited to welcome a Director of Product Classification to help deliver the most accurate category insights to our Retail and Brands clients.

As an Associate Director, Product Classification, you will be the operational leader of our Product Classification organization — the team responsible for ensuring every product in our datasets is accurately categorized to meet the precise needs of our clients. You’ll own the people, processes, and accountability frameworks that drive classification accuracy at scale, while maintaining excellent cross-functional partnerships with Engineering, Data, and our client-facing teams.

This is a fantastic opportunity for someone who thrives in ambiguity & rapid growth. You will be hands-on in building and managing a multi-layered team — including a Data Classification and a Manual Data Quality team — and you’ll be responsible for recruiting, training, and creating a culture of operational excellence and continuous improvement. You’ll set the metrics that hold people accountable, build the systems that make the team scalable, and ensure our classification quality is best-in-class.

This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one of our office hubs, or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. We expect East Coast work hours.

As Our Associate Director of Product Classification, You Will:

• Own operational leadership and accountability for the Product Classification organization

  • Build and own the metrics framework that holds every team member accountable for classification accuracy, throughput, and quality.
  • Establish clear performance standards, SLAs, and escalation paths across the Data Classification and Data Quality teams.
  • Run a rigorous operating cadence — standups, reviews, retrospectives — that surfaces issues early and drives continuous improvement.

• Recruit, train, and develop a high-performing classification team

  • Hire and onboard Data Classification Analysts who are obsessed with accurate outcomes and hungry to deeply learn what clients need in each category.
  • Build and scale your team, ensuring they can execute consistently on well-defined processes.
  • Create onboarding programs, training curricula, and knowledge bases that accelerate ramp time and reduce institutional knowledge risk.
  • Ensure analysts own the LLM prompt for each category, continuously refining prompts based on error patterns and client feedback.
  • Oversee the creation of scalable analytic checks that detect patterns of potential errors that neither the LLM nor manual checking can catch.
  • Ensure the team builds and maintains rules based on deep category expertise — key products, franchises, brands, and how they should be categorized.

• Build and maintain a culture of operational excellence

  • Foster a team culture where accuracy is non-negotiable, curiosity is rewarded, and everyone takes ownership of outcomes.
  • Create an environment where Data Classification analysts are empowered to go deep — learning the nuances of client needs, franchise structures, brand hierarchies, and how products should be categorized.
  • Champion knowledge sharing across the team so that expertise scales beyond individual contributors.

• Maintain excellent cross-functional relationships with Engineering, Insights, and Data to drive our mapping capabilities further. Partner with the Product Manager on system architecture and roadmap

  • Work closely with the PM (who owns the classification system architecture and vision) to ensure operational feasibility and team readiness for new initiatives.
  • Provide ground-level feedback on what’s working, what’s breaking, and where the biggest accuracy gaps exist to inform the PM’s roadmap.
  • Ensure seamless handoff between the PM’s process design and the team’s execution.

• Leverage AI to accelerate and improve our classification systems to be faster and more accurate

  • Partner with Engineering and the PM to continuously improve LLM-driven classification, using the team’s domain expertise to train and evaluate models.
  • Identify opportunities where AI/automation can replace or augment manual work and lead the operational transition.
  • Stay current on advancements in NLP, LLMs, and classification technology to inform team strategy.

You Are Likely To Succeed If:

• You have 8+ years of experience in data analytics, data operations, category mapping, or consulting, with at least 4+ years leading teams of 10+, and at least 2 years of experience managing team leaders.
• You have 2+ years of experience working with SQL, Python, PySpark, or other programming languages to explore and transform large, complex datasets; Familiarity with GitHub and Databricks
• You have an operational excellence mindset — you build systems, metrics, and processes that scale. You hold people accountable without micromanaging.
• You have a proven track record of hiring great talent, building training programs, and developing leaders within your team.
• You are comfortable with ambiguity and building from scratch — this is a team-building role. You’ll be creating structure, not inheriting it.
• You can clearly communicate complex concepts, both orally and in writing
• You have a strong ownership mentality and are enthusiastic about making a big impact at a rapidly growing company
• Preferred : Data and classification domain experience (preferred) — experience with product taxonomies, categorization systems, e-commerce data, or similar domains is a strong plus.

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary:

• We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
• The annual on-target earnings for this position is anticipated to be up to $210K ~ $220K + bonus element. The final offer may be determined by a number of factors, including, but not limited to, the applicant’s experience, knowledge, skills, abilities, as well as internal team benchmarks.
• The compensation package also includes equity.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.

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Why Us

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust—AI that delivers lasting business value.

We # GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

The Role

NewRocket is a global team made up of ServiceNow professionals who help our customers run and grow their ServiceNow environments. We are hiring a ServiceNow Senior Business Analyst. We will provide support and guidance to get you up to speed on some of the most amazing projects!  We provide official ServiceNow training so you can achieve multiple certifications. We will set expectations for what success looks like. Then we will allow you use your skills and experience to come up with innovative solutions to achieve customer goals.

We # GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

What You Will Be Doing

• Understand and document business requirements and user stories for ServiceNow implementations.
• Define customer needs, determine strategies, develop plans/proposals and make recommendations around customer’s internal processes and functions for improved efficiency and effectiveness
• Own business requirements and agreement of priorities with clients/end users
• Conduct impact analysis on existing business process and function
• Produce functional specifications, wireframes, and mock-ups for delivery teams
• Partner with technical team to conduct demos and show & tells with client end users
• Contribute to writing test scripts including acceptance criteria
• Facilitate testing/UAT and obtain agreement on priorities with client / end users

What You Bring Along

• 5+ years of experience working experience as a Business Analyst
• Proven ServiceNow experience with expertise in ITOM & ITAM.
• Strong knowledge of business process architecture principles for cloud-based platforms
• Strong experience with ServiceNow Platforms in Integration, Security Center, Upgrade, Debugging, Custom Application
• Understanding of Agile/Scrum methodologies
• Strong written and verbal communication skills
• Ability to assess and mitigate risk
• Strong problem-solving skills; ability to simplify complex situations
• Strong relationship management skills with all levels
• Good documentation and stakeholder communication skills

Education:

• A four-year undergraduate degree in Computer Science, Computer Engineering, Information Systems or demonstrated work experience

Certifications & Knowledge

The candidate must be willing and able to continue their education within the ServiceNow platform and beyond. It is expected that the candidate will be able to complete ServiceNow competency Certifications as well as Module Accreditations.

Preferred Certifications:

• ServiceNow CSA certification

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard.  We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.

About TruelogicAt Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of...

Job Title: Data Science EngineerPosition leads the data science initiative in all areas of BRR Plus’s responsibilities, including Pratt Industries and Visy, providing professional knowledge and expertise in the areas...

Company Description

NBCUniversal is one of the world’s leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

The Sr. Data Analyst, Business Solutions will join the Film & TV Studios Technical Solutions team within Studios Technology Solutions. This role supports analytics initiatives across the Film and TV business, advancing the growth, adoption, and effective use of data as a strategic capability.

The Sr. Data Analyst partners closely with business stakeholders and enterprise data engineering teams to analyze complex datasets, generate actionable insights, and deliver scalable analytics solutions that drive strategic decision-making across Universal Entertainment. This role supports key business areas including but not limited to Global Data Strategy, Film Strategy & Business Development, Marketing, Theatrical Distribution, and Finance.

RESPONSIBILITIES:

• Perform in-depth analysis across Universal Entertainment business areas, including Marketing, Global Data Strategy, and Business Development, to generate actionable insights that support data-driven decision-making
• Translate business questions and stakeholder requirements into analytical frameworks and scalable reporting solutions aligned with enterprise analytics strategy and roadmap priorities
• Build, enhance, and maintain dashboards and self-service analytics tools using BI platforms such as Tableau, Power BI, or Looker
• Partner with Engineering and Enterprise data teams to support data pipelines, integrations, data quality, and analytics readiness across initiatives
• Write advanced SQL queries to extract, transform, validate, and analyze large datasets across enterprise data platforms
• Support the implementation, enhancement, and enterprise adoption of analytics solutions
• Communicate insights clearly through data storytelling, visualization, and stakeholder presentations
• Contribute to advanced analytics initiatives, including audience insights, forecasting, experimentation, and ML/AI-enabled use cases
• All other duties as assigned

Qualifications

REQUIREMENTS:

• Bachelor’s degree in computer science, statistics, data analytics or related field (or equivalent experience)
• 5+ years of experience in data analytics, business intelligence or analytics-focused roles
• Advanced proficiency in SQL for complex querying, data validation, and analysis
• Strong experience working with enterprise data platforms and analytics tools
• Experience translating business requirements into analytical frameworks and reporting solutions
• Experience analyzing and validating marketing, audience, or digital performance datasets
• Experience with BI and data visualization tools (Tableau, Power BI, or Looker)
• Experience working with large datasets across multiple data sources and systems
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights
• Experience working in cross-functional teams involving marketing partners, data engineers, and technology teams
• Excellent communication skills with the ability to explain analytical findings to non-technical audiences
• Ability to manage analytics work independently across multiple initiatives in a fast-paced environment

PREFERRED QUALIFICATIONS:

• Experience working in the global Media & Entertainment industry
• Understanding of the Film, TV, and Streaming landscape, including digital marketing and consumer behavior trends
• Experience in the following data platforms and technologies: BigQuery, Snowflake, Vertex AI, Cloud Composer, BigQuery ML, AutoML AWS, S3, Python and SQL
• Experience in television networks, television studios, and streaming a plus
• Experience supporting large-scale analytics programs or enterprise analytics initiatives
• Demonstrated ability to adopt new technologies quickly and articulate their business value
• Proactive, self-directed work style with strong initiative and the ability to manage work independently

Additional Requirements

Hybrid: This position has been designated as hybrid, which currently requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $110,000 - $140,000.

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal’s policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles’ Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected].

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

We are seeking a highly qualified and motivated Technical Business Analyst to join our team on an innovative project focused on the financial market. This project involves developing robust and scalable solutions using modern technologies.

This position requires availability to work in our Campinas office 3x / week.

Responsibilities

• Communicate effectively in English, actively participating in meetings and reviewing and writing technical documents in English.

• Conduct meetings and workshops with stakeholders to gather business needs and translate them into clear functional and process requirements.

• Partner with Architects, Engineering Leads, and business stakeholders to define future-state product capabilities and transition strategies.

• Analyze and document current-state and target-state system capabilities, product boundaries, and functional ownership models.

• Support product decomposition and refactoring initiatives, helping separate business capabilities and define ownership across teams.

• Document business processes, workflows, and operational manuals for implemented solutions.

• Collaborate closely with cross-functional teams to ensure that business needs are accurately reflected in deliverables.

• Support backlog refinement and prioritization discussions by translating business needs into actionable requirements and user stories.

• Identify dependencies, risks, and impacts associated with product transitions, platform modernization efforts, and organizational changes.

• Facilitate knowledge transfer activities to support future ownership and transition of products to globally distributed teams.

• Ensure that documentation and solutions align with compliance, security, and performance standards.

• Help promote best practices and scalable structures for process standardization.

Qualifications

• Advanced English (daily interaction with individuals outside Brazil).

• Availability to work on-site 3x per week.

• Proven ability to take ownership of deliverables, manage competing priorities, and engage multiple stakeholders.

• Strong communication, documentation, and problem-solving skills.

• Consultative and proactive mindset, with the ability to lead discussions and influence decisions.

• Experience in digital consulting environments.

• Experience working in Agile environments and collaborating closely with Product Managers, Architects, and Engineering teams.

• Comfort with — or willingness to learn and explore — Generative AI tools to enhance productivity.

Preferred Qualifications

• Experience with facilitating a scrum team in their day-to-day operations and agile ceremonies.

• Experience in Investment Technology, Asset Management, Portfolio Management, Financial Services, Trading Systems, or related domains.

• Familiarity with investment calculations, portfolio analytics, financial instruments, or investment operations.

• Experience supporting product decomposition, platform modernization, system migration, or refactoring initiatives.

#LI-AG4

Our benefits:

-Health and dental insurance

-Meal and food allowance

-Childcare assistance

-Extended paternity leave

-Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;

-Profit Sharing and Results Participation (PLR);

-Life insurance

-Continuous learning platform (CI&T University);

-Discount club

-Free online platform dedicated to physical, mental, and overall well-being

-Pregnancy and responsible parenting course

-Partnerships with online learning platforms

-Language learning platform

And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don’t worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.