Senior Level Business Data Analyst Jobs
Senior level business data analyst jobs place experienced professionals in charge of analytical strategy, complex data initiatives, and the cross-functional teams or stakeholders who depend on their insights. Openings lean toward 60% remote and hybrid arrangements across Consulting & Professional Services, Retail, and Fintech, with employers like SHEIN, Abbott, and phData hiring at this level now.
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Showing 5 of 7+ Senior Level Business Data Analyst jobs
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.
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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Senior Level Business Data Analyst Jobs: Frequently Asked Questions
How do I get a senior level business data analyst job?
Employers at this level want candidates who have owned end-to-end analytical projects, not just contributed to them. Highlight work where you shaped the analysis framework, influenced a business decision, or mentored junior analysts. Proficiency in SQL, Python or R, and business intelligence platforms matters, but so does your ability to translate findings into strategy. A portfolio of high-impact deliverables and cross-functional stakeholder experience gives candidates a clear edge.
Which companies hire senior level business data analysts?
Companies hiring senior level business data analysts right now include SHEIN, Abbott, and phData, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers large enterprises with dedicated analytics functions as well as mid-size organizations building out data capability for the first time.
Are there remote senior level business data analyst jobs?
Yes, remote and hybrid availability is strong at this experience level. About 60% of senior level business data analyst openings are remote or hybrid as of September 2026, reflecting employer confidence in senior professionals managing complex work independently. On-site roles do exist, particularly in sectors where data governance or regulated environments require in-person presence.
What makes a business data analyst role senior level?
Senior level roles are defined by scope and ownership. Where a mid-level analyst executes assigned analyses, a senior analyst sets the analytical approach, defines the right questions to ask, and ensures findings drive measurable business outcomes. Mentoring junior team members, leading stakeholder presentations, and owning data quality or methodology decisions are common expectations. The work is less task-driven and more judgment-driven.
Which industries hire the most senior level business data analysts?
Senior level business data analyst roles concentrate in Consulting & Professional Services, Retail, and Fintech, based on current listings on Migrate Mate as of September 2026. These sectors generate large, complex datasets and depend on experienced analysts to translate that data into operational and strategic decisions at scale.