Business Data Analyst Visa Sponsorship Jobs in Indiana
Indiana's business data analyst job market spans sectors from Eli Lilly and Salesforce in Indianapolis to manufacturing and logistics firms across Fort Wayne and South Bend. Employers here increasingly seek analysts who can translate complex datasets into business decisions, and many are active H-1B visa sponsors with established international hiring pipelines.
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Get Access To All 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.
Business Data Analyst Job Roles in Indiana
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Search Business Data Analyst Jobs in IndianaBusiness Data Analyst Jobs in Indiana: Frequently Asked Questions
Which companies sponsor visas for business data analysts in Indiana?
Indianapolis-based employers account for the largest share of business data analyst sponsorship in Indiana. Eli Lilly, Salesforce, Anthem (now Elevance Health), and Cummins have filed H-1B petitions for analyst roles in recent years. Financial services firms and healthcare systems, including Indiana University Health, also sponsor analysts regularly. Smaller technology and consulting firms in the Indianapolis metro are growing sponsors as well.
Which visa types are most common for business data analyst roles in Indiana?
The H-1B is the most commonly used visa for business data analyst positions in Indiana, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field such as business analytics, statistics, or information systems. Candidates who have completed U.S. degrees may also enter the workforce on OPT or STEM OPT before an employer files an H-1B petition on their behalf.
Which cities in Indiana have the most business data analyst sponsorship jobs?
Indianapolis is by far the leading city for business data analyst visa sponsorship in Indiana, driven by its concentration of healthcare, technology, and financial services employers. Carmel and Fishers, both Indianapolis suburbs with growing corporate campuses, are secondary hubs. Fort Wayne has a smaller but active market tied to manufacturing and insurance companies, while Bloomington attracts some analyst roles connected to Indiana University.
How to find business data analyst visa sponsorship jobs in Indiana?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to identify business data analyst openings in Indiana where employers are actively willing to sponsor. Because sponsorship willingness is not always stated in standard postings, using a platform built around this filter saves significant time. Focus your search on Indianapolis and its suburbs, where sponsoring employers are most concentrated for this role type.
Are there state-specific or role-specific factors business data analysts should know about Indiana?
Indiana's strong life sciences and advanced manufacturing sectors create consistent demand for analysts who can work with operational, supply chain, and clinical data. Purdue University and Indiana University both produce graduate pipelines in data and business analytics that Indiana employers actively recruit from, which signals familiarity with international candidates. The state's relatively lower cost of living compared to coastal markets also means prevailing wage requirements are calibrated to local norms, which can make sponsorship more straightforward for employers.
What is the prevailing wage for sponsored business data analyst jobs in Indiana?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.