Senior Level Clinical Data Analyst Jobs
Senior level clinical data analyst jobs put experienced professionals in charge of complex study data pipelines, cross-functional validation strategies, and the junior analysts who execute them. Roles are concentrated in Retail, Fintech, and Education, with 40% remote or hybrid flexibility, and employers like SHEIN, TransUnion, and Capital One hiring at this level now.
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See related jobsJob Title: Data Analysis Manager
Reports to: Director, Cost Management
Job Location: Whitestown, IN
Job Status: Exempt, Full-Time
About SHEIN
SHEIN is a global fashion and lifestyle e-retailer committed to making the beauty of fashion accessible to all. We use on-demand manufacturing technology to connect suppliers to our agile supply chain, reducing inventory waste and enabling us to deliver a variety of affordable products to customers around the world. From our global offices, we reach customers in more than 160 countries. Founded in 2012, SHEIN has nearly 18,000 employees operating from offices around the world, with U.S. Headquarters located in Los Angeles. In SHEIN, we work with outstanding, creative, and capable peers. We share an energetic and open culture for capable people to discern, work and ignite as a team. At SHEIN, our culture is driven by our core values: Customer First, Take Ownership, Deliver Results, Make Change, and Celebrate Diversity. These are not just words, they are the principles that guide our work as we strive to meet the needs of our customers around the world.
Position Summary
As Data Analysis Manager, we are looking for an individual with “forward deployment” skills, to drive the development of warehouse planning tools. This role sits at the intersection of data analytics and low code AI applications. You will be responsible for developing, deploying, integrating, and scaling AI powered solutions to provide end-to-end, real time, dynamic forecasting and planning models. You will serve as a key individual contributor supporting US Fulfillment and Operations improving warehouse performance, labor planning, cost efficiency, and operational execution. The ideal candidate will combine strong analytical and technical capabilities with a deep understanding of fulfillment, warehousing, and supply chain operations. They will partner closely with cross-functional teams to identify business challenges, uncover performance drivers, and recommend practical solutions. This role requires someone who can independently manage complex analytics initiatives, translate data into clear business recommendations, and thrive in a fast-paced, high-growth environment. We’re seeking a full-time Data Analysis Manager for our warehouse-based office.
Job Responsibilities
- Build Web-Based Planning Tools: Design, deploy, and maintain an internal, real-time labor planning platform using low-code/no-code environments (e.g., Retool, Bubble).
- Leverage AI Coding Assistants: Utilize advanced AI tools (e.g., Cursor, GitHub Copilot) to rapidly generate, debug, and optimize backend tool logic without a dedicated software engineering team.
- Build End-to-End Data Pipelines: Query internal WMS relational databases via SQL or screen captures and connect to the time and attendance systems to develop a real-time view of projected capacities.
- Ensure Data Integrity: Implement rigorous data collection, validation, and automated quality checks to guarantee data accuracy and system reliability across all tools.
- Manage Analytics Initiatives: Prioritize and deliver multiple technical tool builds and analytics projects simultaneously in a fast-paced fulfillment environment.
- Identify Cost Drivers: Mine historical and real-time operational data to uncover savings opportunities and recommend strategic optimizations to senior leadership.
- Core KPI Leadership Dashboards: Lead the design and maintenance of metrics, dashboards, and automated reports highlighting cost, Cost Per Unit (CPU), and efficiency KPIs for weekly and monthly business reviews.
- Support Root-Cause Analysis: Analyze performance trends to diagnose operational issues and mathematically measure the impact of process changes and cost-saving initiatives.
- Provide Strategic BI Support: Deliver high-impact analytics to US Fulfillment and Operations leadership, focusing on warehouse performance, labor efficiency, and supply chain execution.
- Design Core Leadership Dashboards: Lead the design and maintenance of automated reports highlighting cost, Cost Per Unit (CPU), and efficiency KPIs for business reviews.
- Cross-Functional Collaboration & Adoption: Partner with Fulfillment, Finance, Logistics, and floor leadership to transition teams from static spreadsheets to live, automated web tools.
Job Requirements
- Bachelor's degree or above in Software Engineering, Data Analytics, Business Analytics, Statistics, Supply Chain, Operations Management, Computer Science, or a related field.
- 6+ years of experience in data analysis, business intelligence, or analytics roles, preferably within top e-commerce, fulfillment, logistics, or supply chain organizations.
- Experience with AI coding environments (e.g., Cursor, GitHub Copilot, Replit Agent) and low-code application development (e.g., Retool, Bubble, FlutterFlow).
- Proven track record of independently building, hosting, and deploying scrappy, functional web applications or internal tools to solve operational problems.
- Strong understanding of fulfillment center operations, warehouse processes, labor planning, capacity planning, productivity tracking, and supply chain performance metrics.
- Proven ability to design and maintain metrics, dashboards, and reporting frameworks for cost, CPU, productivity, SLA, and operational efficiency KPIs.
- Experience working in a fast-paced environment similar to a high-tech start-up; Works well under pressure with the ability to prioritize competing deliverables.
- Experience collaborating with cross-functional teams, including Fulfillment Operations, Finance, Product, Engineering, Logistics, and senior leadership.
- Ability to explore and leverage emerging AI tools to improve analytics efficiency, automate repetitive workflows, and enhance insight generation.
- Excellent oral and written communication skills.
Benefits and Culture
- Healthcare (medical, dental, vision, prescription drugs)
- Health Savings Account with Employer Funding
- Flexible Spending Accounts (Healthcare and Dependent care)
- Company-Paid Basic Life/AD&D insurance
- Company-Paid Short-Term and Long-Term Disability
- Voluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident)
- Employee Assistance Program
- Business Travel Accident Insurance
- 401(k) Savings Plan with discretionary company match and access to a financial advisor
- Vacation, paid holidays, floating holidays, and sick days
- Employee discounts
- Free weekly catered lunch
- Free swag giveaways
- Annual Holiday Party
- Invitations to pop-ups and other company events
- Complimentary daily office snacks and beverages
SHEIN is an equal opportunity employer committed to a diverse workplace environment.
Job Title: Data Analysis Manager
Reports to: Director, Cost Management
Job Location: Whitestown, IN
Job Status: Exempt, Full-Time
About SHEIN
SHEIN is a global fashion and lifestyle e-retailer committed to making the beauty of fashion accessible to all. We use on-demand manufacturing technology to connect suppliers to our agile supply chain, reducing inventory waste and enabling us to deliver a variety of affordable products to customers around the world. From our global offices, we reach customers in more than 160 countries. Founded in 2012, SHEIN has nearly 18,000 employees operating from offices around the world, with U.S. Headquarters located in Los Angeles. In SHEIN, we work with outstanding, creative, and capable peers. We share an energetic and open culture for capable people to discern, work and ignite as a team. At SHEIN, our culture is driven by our core values: Customer First, Take Ownership, Deliver Results, Make Change, and Celebrate Diversity. These are not just words, they are the principles that guide our work as we strive to meet the needs of our customers around the world.
Position Summary
As Data Analysis Manager, we are looking for an individual with “forward deployment” skills, to drive the development of warehouse planning tools. This role sits at the intersection of data analytics and low code AI applications. You will be responsible for developing, deploying, integrating, and scaling AI powered solutions to provide end-to-end, real time, dynamic forecasting and planning models. You will serve as a key individual contributor supporting US Fulfillment and Operations improving warehouse performance, labor planning, cost efficiency, and operational execution. The ideal candidate will combine strong analytical and technical capabilities with a deep understanding of fulfillment, warehousing, and supply chain operations. They will partner closely with cross-functional teams to identify business challenges, uncover performance drivers, and recommend practical solutions. This role requires someone who can independently manage complex analytics initiatives, translate data into clear business recommendations, and thrive in a fast-paced, high-growth environment. We’re seeking a full-time Data Analysis Manager for our warehouse-based office.
Job Responsibilities
- Build Web-Based Planning Tools: Design, deploy, and maintain an internal, real-time labor planning platform using low-code/no-code environments (e.g., Retool, Bubble).
- Leverage AI Coding Assistants: Utilize advanced AI tools (e.g., Cursor, GitHub Copilot) to rapidly generate, debug, and optimize backend tool logic without a dedicated software engineering team.
- Build End-to-End Data Pipelines: Query internal WMS relational databases via SQL or screen captures and connect to the time and attendance systems to develop a real-time view of projected capacities.
- Ensure Data Integrity: Implement rigorous data collection, validation, and automated quality checks to guarantee data accuracy and system reliability across all tools.
- Manage Analytics Initiatives: Prioritize and deliver multiple technical tool builds and analytics projects simultaneously in a fast-paced fulfillment environment.
- Identify Cost Drivers: Mine historical and real-time operational data to uncover savings opportunities and recommend strategic optimizations to senior leadership.
- Core KPI Leadership Dashboards: Lead the design and maintenance of metrics, dashboards, and automated reports highlighting cost, Cost Per Unit (CPU), and efficiency KPIs for weekly and monthly business reviews.
- Support Root-Cause Analysis: Analyze performance trends to diagnose operational issues and mathematically measure the impact of process changes and cost-saving initiatives.
- Provide Strategic BI Support: Deliver high-impact analytics to US Fulfillment and Operations leadership, focusing on warehouse performance, labor efficiency, and supply chain execution.
- Design Core Leadership Dashboards: Lead the design and maintenance of automated reports highlighting cost, Cost Per Unit (CPU), and efficiency KPIs for business reviews.
- Cross-Functional Collaboration & Adoption: Partner with Fulfillment, Finance, Logistics, and floor leadership to transition teams from static spreadsheets to live, automated web tools.
Job Requirements
- Bachelor's degree or above in Software Engineering, Data Analytics, Business Analytics, Statistics, Supply Chain, Operations Management, Computer Science, or a related field.
- 6+ years of experience in data analysis, business intelligence, or analytics roles, preferably within top e-commerce, fulfillment, logistics, or supply chain organizations.
- Experience with AI coding environments (e.g., Cursor, GitHub Copilot, Replit Agent) and low-code application development (e.g., Retool, Bubble, FlutterFlow).
- Proven track record of independently building, hosting, and deploying scrappy, functional web applications or internal tools to solve operational problems.
- Strong understanding of fulfillment center operations, warehouse processes, labor planning, capacity planning, productivity tracking, and supply chain performance metrics.
- Proven ability to design and maintain metrics, dashboards, and reporting frameworks for cost, CPU, productivity, SLA, and operational efficiency KPIs.
- Experience working in a fast-paced environment similar to a high-tech start-up; Works well under pressure with the ability to prioritize competing deliverables.
- Experience collaborating with cross-functional teams, including Fulfillment Operations, Finance, Product, Engineering, Logistics, and senior leadership.
- Ability to explore and leverage emerging AI tools to improve analytics efficiency, automate repetitive workflows, and enhance insight generation.
- Excellent oral and written communication skills.
Benefits and Culture
- Healthcare (medical, dental, vision, prescription drugs)
- Health Savings Account with Employer Funding
- Flexible Spending Accounts (Healthcare and Dependent care)
- Company-Paid Basic Life/AD&D insurance
- Company-Paid Short-Term and Long-Term Disability
- Voluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident)
- Employee Assistance Program
- Business Travel Accident Insurance
- 401(k) Savings Plan with discretionary company match and access to a financial advisor
- Vacation, paid holidays, floating holidays, and sick days
- Employee discounts
- Free weekly catered lunch
- Free swag giveaways
- Annual Holiday Party
- Invitations to pop-ups and other company events
- Complimentary daily office snacks and beverages
SHEIN is an equal opportunity employer committed to a diverse workplace environment.
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Who's Hiring
Top Industries Hiring
- Retail
- Fintech
- Education
- Banking & Financial Services
- Biotechnology & Pharmaceuticals
Senior Level Clinical Data Analyst Jobs: Frequently Asked Questions
How do I get a senior level clinical data analyst job?
Employers at this level look for demonstrated ownership of end-to-end clinical data management, including protocol design input, CDISC standards implementation, and regulatory submission readiness. Strong candidates can show they have led data validation for at least one NDA or BLA submission, mentored junior analysts, and resolved data quality issues independently. Proficiency in SAS, R, or Python alongside experience with EDC platforms like Medidata Rave or Veeva Vault gives candidates a clear edge.
Which companies hire senior level clinical data analysts?
Companies hiring senior level clinical data analysts right now include SHEIN, TransUnion, and Capital One, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to come from large pharmaceutical and biotech firms, contract research organizations managing multi-phase trials, and medical device companies preparing regulatory submissions.
Are there remote senior level clinical data analyst jobs?
Yes, remote and hybrid options are common at the senior level. About 40% of senior level clinical data analyst openings are remote or hybrid as of September 2026, reflecting the data-centric nature of the work and the broad geographic spread of clinical operations teams. On-site roles typically involve sponsor oversight or lab-adjacent data work.
What makes a clinical data analyst role senior level?
A senior level clinical data analyst role is defined by scope, ownership, and influence rather than just task execution. Senior roles involve leading data management plans, owning database lock decisions, reviewing work produced by junior or mid-level analysts, and serving as the primary data contact with biostatistics or regulatory teams. The expectation shifts from following established processes to designing and improving them.
Which industries hire the most senior level clinical data analysts?
Senior level clinical data analyst roles concentrate in Retail, Fintech, and Education, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they run the largest volume of regulated clinical trials and carry the data integrity accountability required for FDA and ICH submissions.