Data And Analytics Jobs in USA with Visa Sponsorship
Data and analytics roles rank among the most H-1B visa-sponsored job categories in the U.S., with employers across finance, tech, and healthcare filing thousands of petitions annually. Strong degree alignment in statistics, computer science, or a related quantitative field is typically required for sponsorship. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
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.
Responsibilities
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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
INTRODUCTION
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.
Responsibilities
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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
See all 799+ Data And Analytics jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data And Analytics roles.
Get Access To All JobsTips for Finding Data And Analytics Jobs
Lead with your technical stack
Employers sponsoring data and analytics roles want to see specific tools upfront. List Python, SQL, R, Spark, or Tableau prominently on your resume. Vague descriptions of 'data work' make sponsorship harder to justify internally.
Target industries with high sponsorship volume
Finance, healthcare, and enterprise tech sponsor data roles at far higher rates than most industries. Companies with large data infrastructure investments are more likely to have established visa sponsorship processes already in place.
Align your degree field to the job posting
H-1B specialty occupation requires your degree field to match the role. Statistics, mathematics, computer science, and information systems all support strong petitions. A business degree alone may not be sufficient for senior analytics roles.
Pursue roles with clear specialty occupation footing
Job titles like Data Scientist, Machine Learning Engineer, and Quantitative Analyst have well-established H-1B approval histories. Avoid applying to broadly defined analyst roles where degree requirements are listed as preferred rather than required.
Apply to larger employers first
Companies that file H-1B petitions regularly have internal legal teams and established timelines. For data and analytics candidates, starting with employers who have prior LCA disclosure data for your job title significantly reduces processing friction.
Use Migrate Mate to find sponsorship-ready openings
Migrate Mate curates data and analytics job listings from employers with active sponsorship histories. Filtering by your visa type saves time and connects you directly to roles where the employer already understands the process.
Data And Analytics jobs are hiring across the US. Find yours.
Find Data And Analytics JobsFrequently Asked Questions
Which data and analytics job titles get sponsored most often?
Data Scientist, Data Engineer, Machine Learning Engineer, and Business Intelligence Engineer see the highest H-1B sponsorship volumes. These titles have clear degree requirements and well-established specialty occupation histories at USCIS. Generalist titles like 'Data Analyst' can qualify but face more scrutiny, particularly when job postings list a degree as preferred rather than required.
Does my degree field matter for H-1B sponsorship in data and analytics?
Yes, and it matters significantly. USCIS requires a direct relationship between your degree field and the job duties. Degrees in statistics, mathematics, computer science, data science, or information systems provide the strongest foundation. A general business or liberal arts degree is unlikely to support a data science petition without substantial additional evidence of specialized training.
Are data and analytics roles hard to get sponsored for compared to software engineering?
Approval rates for data science and engineering roles are comparable to software engineering because both categories rest on the same specialty occupation framework. The risk is in how the job is defined. Roles with vague duties or interchangeable degree requirements draw more RFEs. Well-scoped postings requiring a specific quantitative degree in a specific field process more cleanly.
Can I get sponsored for a data analytics role if I studied outside the U.S.?
Yes. USCIS accepts foreign degrees, but they must be evaluated for U.S. equivalency by a credential evaluation service. A three-year bachelor's degree from certain countries may or may not be accepted as equivalent to a U.S. four-year degree depending on the evaluator's assessment and the employer's immigration counsel. Your petition is only as strong as that equivalency determination.
Where can I find data and analytics jobs that sponsor visas?
Migrate Mate lists data and analytics roles specifically filtered for visa sponsorship eligibility. Rather than sorting through thousands of general postings, Migrate Mate surfaces employers with active sponsorship histories so you can focus your applications on companies that are already set up to hire international candidates.
What is the prevailing wage requirement for sponsored Data And Analytics jobs?
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.
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