H-1B Visa Data And Analytics Jobs
Data and analytics roles rank among the most H-1B visa-sponsored positions in the U.S., with employers across tech, finance, and healthcare filing LCAs for data engineers, analysts, and scientists each cap season. Specialty occupation status depends on your degree field aligning directly with the role, so your resume and job description need to reflect that match clearly.
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Get Access To All JobsImagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. As we continue to scale and evolve, AI and intelligent automation are becoming critical enablers of sales excellence, operational efficiency, and strategic decision-making.
Description
As the US Enterprise Data and Analytics Lead for Sales Operations, you will serve as our technical and business intelligence expert who collaborates with data strategy, business insights delivery, and intelligent automation across the US sales organization. This role sits at the intersection of data, systems, and sales operations—requiring deep expertise in enterprise data platforms, analytics, and the ability to scale by leveraging AI and automation to solve complex business challenges.
You will partner closely with the Sales Operations and Sales team to drive the strategy and optimization of critical enterprise data systems including Dun & Bradstreet (D&B), Internal customer sales data, CRM platforms, and business intelligence tools—ensuring sales teams have access to accurate, timely, and actionable insights. As the lead for business intelligence delivery, you will streamline D&B usage, design agentic workflows, and drive automation that transforms sales planning, forecasting, compensation, territory design, and performance analytics.
This is a lead role where you leverage existing teams—including Business Process Requirement (BPR) managers, Analytics, Enterprise Systems, Data Science, and Engineering—to execute technical solutions. You will provide strategic direction, translate business requirements into technical specifications, and coordinate cross-functional execution. At the same time, you'll stay hands-on when innovating new solutions, prototyping agentic flows, or solving complex technical challenges.
The ideal candidate is both a data expert and a business expert who deeply understands sales operations processes and can balance strategic leadership with hands-on innovation. You're passionate about leveraging AI and automation to drive business value and have the technical fluency to guide technical teams while maintaining strong business acumen.
Business Intelligence & Data Leadership
-
Collaborate with the US business intelligence team to drive insights delivery to the sales organization, partnering in the strategy, optimization, and governance of enterprise data platforms and other critical data sources.
-
Streamline and optimize D&B data usage across US sales operations, ensuring data enrichment processes, account intelligence workflows, and territory assignment logic leverage high-quality business information that drives sales productivity.
-
Become the subject matter expert on US enterprise intelligence platforms, optimizing usage, training teams, and identifying new capabilities to enhance sales effectiveness.
Data Strategy & Automation
-
Serve as the data expert for US Sales Operations, responsible for maintaining high-quality data sources that power sales systems, AI models, forecasting tools, compensation engines, and analytics dashboards.
-
Build and maintain robust data pipelines that integrate CRM, D&B, B&E, compensation systems, and other enterprise sources—leveraging existing Analytics and Enterprise Systems teams while providing technical direction.
-
Design and implement agentic workflows and intelligent automation solutions that streamline manual processes, reduce errors, and improve efficiency across sales planning, forecasting, territory design, and compensation.
Cross-Functional Leadership & Execution
-
Partner with BPR managers to document business requirements and coordinate execution across Analytics, Enterprise Systems, Data Science, and Engineering teams to deliver data and automation solutions.
-
Serve as the technical liaison between US Sales Operations and technical teams, facilitating communication, aligning priorities, and ensuring successful execution of initiatives.
-
Work with Enterprise Systems to design and optimize system integrations using APIs, middleware, and ETL tools—coordinating execution while staying hands-on for complex challenges.
Analytics & Insights
-
Define KPIs and provide direction to Analytics teams on dashboard design, reporting frameworks, and analytical capabilities—ensuring reports deliver actionable insights that drive business decisions.
-
Conduct deep-dive analysis on sales data to identify trends and opportunities, translating insights into recommendations for Sales Operations leadership.
-
Develop executive-ready reports and presentations that communicate complex data concepts in clear, business-focused language.
Preferred Qualifications
-
Hands-on coding experience with Python or R for data analysis and automation scripting.
-
Experience with AI/ML technologies including LLMs, generative AI applications, or designing agentic workflows and automation solutions.
-
Expertise in Dun & Bradstreet (D&B) data platforms, including data enrichment workflows, account intelligence, and optimization strategies.
-
Understanding of machine learning, prompt engineering, and AI applications sufficient to guide technical teams and innovate solutions.
-
Track record of becoming a subject matter expert in complex enterprise data systems and driving strategic improvements.
-
MBA or Master's degree in Data Science, Business Analytics, Computer Science, Engineering, or a related field.
Minimum Qualifications
-
6+ years of related experience in sales operations, revenue operations, business intelligence, data analytics, or technical operations supporting sales or finance functions.
-
Strong data and analytics expertise including proficiency in SQL, data warehousing, ETL processes, data quality management, and building data pipelines.
-
Hands-on experience with data visualization and analytics tools (Tableau, Power BI, etc.) to build dashboards and deliver actionable insights.
-
Technical fluency with APIs, system integrations, and middleware tools to design and troubleshoot integrations between CRM platforms and enterprise data systems.
-
Demonstrated experience leading or coordinating technical teams including Data Science, Engineering, Analytics, or Enterprise Systems to deliver data solutions.
-
Strong business acumen with understanding of sales operations processes (forecasting, quota planning, territory management, compensation, performance tracking).
-
Experience with CRM platforms (e.g., Salesforce) including configuration, reporting, automation, and data management.
-
Exceptional communication and leadership skills with ability to translate technical concepts for non-technical audiences and provide strategic direction to technical teams.
-
Comfortable balancing strategic leadership with hands-on innovation—able to direct teams while remaining technically engaged to prototype and validate new solutions.
-
Bachelor's degree in Business Analytics, Data Science, Computer Science, Engineering, Information Systems, or a related field, or equivalent experience required.
Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. As we continue to scale and evolve, AI and intelligent automation are becoming critical enablers of sales excellence, operational efficiency, and strategic decision-making.
Description
As the US Enterprise Data and Analytics Lead for Sales Operations, you will serve as our technical and business intelligence expert who collaborates with data strategy, business insights delivery, and intelligent automation across the US sales organization. This role sits at the intersection of data, systems, and sales operations—requiring deep expertise in enterprise data platforms, analytics, and the ability to scale by leveraging AI and automation to solve complex business challenges.
You will partner closely with the Sales Operations and Sales team to drive the strategy and optimization of critical enterprise data systems including Dun & Bradstreet (D&B), Internal customer sales data, CRM platforms, and business intelligence tools—ensuring sales teams have access to accurate, timely, and actionable insights. As the lead for business intelligence delivery, you will streamline D&B usage, design agentic workflows, and drive automation that transforms sales planning, forecasting, compensation, territory design, and performance analytics.
This is a lead role where you leverage existing teams—including Business Process Requirement (BPR) managers, Analytics, Enterprise Systems, Data Science, and Engineering—to execute technical solutions. You will provide strategic direction, translate business requirements into technical specifications, and coordinate cross-functional execution. At the same time, you'll stay hands-on when innovating new solutions, prototyping agentic flows, or solving complex technical challenges.
The ideal candidate is both a data expert and a business expert who deeply understands sales operations processes and can balance strategic leadership with hands-on innovation. You're passionate about leveraging AI and automation to drive business value and have the technical fluency to guide technical teams while maintaining strong business acumen.
Business Intelligence & Data Leadership
-
Collaborate with the US business intelligence team to drive insights delivery to the sales organization, partnering in the strategy, optimization, and governance of enterprise data platforms and other critical data sources.
-
Streamline and optimize D&B data usage across US sales operations, ensuring data enrichment processes, account intelligence workflows, and territory assignment logic leverage high-quality business information that drives sales productivity.
-
Become the subject matter expert on US enterprise intelligence platforms, optimizing usage, training teams, and identifying new capabilities to enhance sales effectiveness.
Data Strategy & Automation
-
Serve as the data expert for US Sales Operations, responsible for maintaining high-quality data sources that power sales systems, AI models, forecasting tools, compensation engines, and analytics dashboards.
-
Build and maintain robust data pipelines that integrate CRM, D&B, B&E, compensation systems, and other enterprise sources—leveraging existing Analytics and Enterprise Systems teams while providing technical direction.
-
Design and implement agentic workflows and intelligent automation solutions that streamline manual processes, reduce errors, and improve efficiency across sales planning, forecasting, territory design, and compensation.
Cross-Functional Leadership & Execution
-
Partner with BPR managers to document business requirements and coordinate execution across Analytics, Enterprise Systems, Data Science, and Engineering teams to deliver data and automation solutions.
-
Serve as the technical liaison between US Sales Operations and technical teams, facilitating communication, aligning priorities, and ensuring successful execution of initiatives.
-
Work with Enterprise Systems to design and optimize system integrations using APIs, middleware, and ETL tools—coordinating execution while staying hands-on for complex challenges.
Analytics & Insights
-
Define KPIs and provide direction to Analytics teams on dashboard design, reporting frameworks, and analytical capabilities—ensuring reports deliver actionable insights that drive business decisions.
-
Conduct deep-dive analysis on sales data to identify trends and opportunities, translating insights into recommendations for Sales Operations leadership.
-
Develop executive-ready reports and presentations that communicate complex data concepts in clear, business-focused language.
Preferred Qualifications
-
Hands-on coding experience with Python or R for data analysis and automation scripting.
-
Experience with AI/ML technologies including LLMs, generative AI applications, or designing agentic workflows and automation solutions.
-
Expertise in Dun & Bradstreet (D&B) data platforms, including data enrichment workflows, account intelligence, and optimization strategies.
-
Understanding of machine learning, prompt engineering, and AI applications sufficient to guide technical teams and innovate solutions.
-
Track record of becoming a subject matter expert in complex enterprise data systems and driving strategic improvements.
-
MBA or Master's degree in Data Science, Business Analytics, Computer Science, Engineering, or a related field.
Minimum Qualifications
-
6+ years of related experience in sales operations, revenue operations, business intelligence, data analytics, or technical operations supporting sales or finance functions.
-
Strong data and analytics expertise including proficiency in SQL, data warehousing, ETL processes, data quality management, and building data pipelines.
-
Hands-on experience with data visualization and analytics tools (Tableau, Power BI, etc.) to build dashboards and deliver actionable insights.
-
Technical fluency with APIs, system integrations, and middleware tools to design and troubleshoot integrations between CRM platforms and enterprise data systems.
-
Demonstrated experience leading or coordinating technical teams including Data Science, Engineering, Analytics, or Enterprise Systems to deliver data solutions.
-
Strong business acumen with understanding of sales operations processes (forecasting, quota planning, territory management, compensation, performance tracking).
-
Experience with CRM platforms (e.g., Salesforce) including configuration, reporting, automation, and data management.
-
Exceptional communication and leadership skills with ability to translate technical concepts for non-technical audiences and provide strategic direction to technical teams.
-
Comfortable balancing strategic leadership with hands-on innovation—able to direct teams while remaining technically engaged to prototype and validate new solutions.
-
Bachelor's degree in Business Analytics, Data Science, Computer Science, Engineering, Information Systems, or a related field, or equivalent experience required.
See all 643+ H-1B Visa Data And Analytics Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data And Analytics Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Data And Analytics
Align your degree field to the role
USCIS evaluates whether your specific degree directly relates to the data or analytics position. A computer science or statistics degree maps cleanly, but a general business degree may trigger an RFE unless your job description specifies quantitative requirements.
Check LCA filings by occupation code
Use the OFLC Wage Search to filter Labor Condition Applications by SOC code before applying. Data analysts fall under 15-2051, data scientists under 15-2041. Employers with recent certified LCAs in your target code are actively hiring for sponsored roles.
Target E-Verify enrolled employers early
STEM OPT extensions and cap-gap protections require your employer to be E-Verify enrolled. Confirm enrollment status before accepting an offer, not after, since switching employers mid-process resets your timeline and paperwork.
Search verified H-1B sponsors on Migrate Mate
Filter by data and analytics job titles on Migrate Mate to surface employers with confirmed H-1B filing history for your occupation. This cuts out companies that list roles without a track record of sponsoring the specific SOC codes you need.
Negotiate your offer against prevailing wage tiers
DOL assigns your offered salary to one of four prevailing wage levels. Level I covers entry roles; Level III and IV reflect senior and principal positions. Your LCA wage must meet the level matching your actual duties, so your offer letter and job description must align precisely.
Document project outcomes before your petition
USCIS requests for evidence in analytics cases often challenge whether the role truly requires a specialty degree. Prepare a portfolio of deliverables, model documentation, or business impact reports that demonstrate the technical complexity your degree made possible.
H-1B Visa Data And Analytics: Frequently Asked Questions
Do data and analytics roles qualify as specialty occupations for H-1B?
Most do, but the qualification depends on the specific role and how the employer defines minimum requirements. Data scientist and data engineer positions routinely qualify because they require at minimum a bachelor's degree in computer science, statistics, or a closely related quantitative field. General analyst roles with looser degree requirements can draw RFEs if the job description doesn't specify a theoretical or technical body of knowledge the degree unlocks.
Which employers sponsor H-1B visas for data and analytics jobs?
Technology companies, financial services firms, consulting practices, and large healthcare systems consistently file LCAs for analytics roles each cap season. You can browse data and analytics positions filtered by H-1B sponsorship history on Migrate Mate, which surfaces employers based on verified DOL Labor Condition Application filings rather than unverified job postings.
Can my employer file H-1B for a remote data analytics role?
Yes, but the LCA must list every worksite where you'll perform services, including your home address if you're working remotely. For fully remote positions, USCIS and DOL require the employer to post a public notice at your home location and certify the prevailing wage for that area, not the company's headquarters zip code. Work location changes after filing may also require an amended petition.
What SOC codes apply to H-1B data and analytics jobs?
DOL uses Standard Occupational Classification codes to determine prevailing wage levels on LCAs. Data analysts typically fall under 15-2051, data scientists under 15-2041, and database architects under 15-1243. Your employer selects the code that matches your actual duties, and USCIS reviews whether your degree field aligns with that occupation. A mismatch between your degree and the assigned SOC code is a common RFE trigger, so verify the code your employer intends to use before your offer is finalized.
Does H-1B cap-exempt status apply to data roles at universities or nonprofits?
It can. Universities, affiliated research organizations, and qualifying nonprofit research institutions are cap-exempt employers, meaning they can file H-1B petitions outside the annual lottery at any time of year. Data scientists and analysts employed directly by these institutions, or placed at them in a research capacity, may qualify. USCIS reviews the nature of the work and the employer's qualifying status, so the role still needs to meet specialty occupation standards.