Senior Business Intelligence Analyst Jobs in USA with Visa Sponsorship
Senior Business Intelligence Analyst roles attract H-1B visa sponsorship from employers across finance, healthcare, and tech, industries that consistently file LCAs for data and analytics positions. Most require a bachelor's or master's degree in a quantitative field to qualify as a specialty occupation. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen–fast.
ROLE
We are seeking a Senior Business Intelligence Analyst to help drive product strategy and execution through analytics, measurement, and actionable insights across Product, Product Leadership, and Engineering. This role is responsible for transforming complex product and business questions into actionable insights, scalable measurement approaches, and trusted analytics that influence product outcomes and business performance.
This role focuses on product analytics, customer behavior, product performance, and business outcomes. The successful candidate will help Product and Engineering teams understand what is happening, why it is happening, and what actions should be taken next.
The ideal candidate combines strong analytical skills, product thinking, business acumen, intellectual curiosity, and a bias toward action. They are comfortable navigating evolving business needs, quickly learning new domains, and applying data to solve complex product and customer challenges. They will independently own analytics initiatives from problem definition through recommendation while helping evolve how analytics supports Product and Engineering organizations.
You will operate with a high degree of autonomy and influence, partnering closely with Product Managers, Product Leadership, Engineering, Data Engineering, and Business Intelligence teams to ensure product investments are measurable, impactful, and aligned with business objectives.
Product Analytics Ownership
-
Partner with Product Managers and Engineering leaders to understand customer workflows, product experiences, user behaviors, and business objectives, using data to drive product strategy and decision-making.
-
Develop a deep understanding of customer workflows, product experiences, and user behaviors to identify opportunities for improved adoption, engagement, retention, and value realization.
-
Define success metrics and measurement plans for product launches, features, and strategic initiatives.
-
Develop and refine KPIs and measurement frameworks that align teams around product and business performance.
-
Partner with Product and Engineering teams to define event tracking requirements and ensure product telemetry supports meaningful measurement and analysis.
-
Quantify opportunity size and help Product teams prioritize investments based on expected customer value, business impact, and strategic objectives.
-
Support product teams throughout the product lifecycle, from opportunity identification and prioritization through launch and post-release evaluation.
Analytics Execution & Insight Generation
-
Conduct deep-dive analyses to identify trends, opportunities, risks, and root causes.
-
Translate complex business questions into actionable insights and recommendations.
-
Design, analyze, and communicate results from experiments, feature launches, and product initiatives, evaluating customer and business impact.
-
Identify and quantify opportunities to improve product experiences, customer engagement, retention, and business outcomes through data-driven analysis.
-
Evaluate tradeoffs between competing product investments and provide analytical recommendations that support roadmap prioritization.
Stakeholder Partnership & Data Storytelling
-
Act as a trusted analytics partner to Product, Engineering, and Leadership teams.
-
Present analytical findings and recommendations through clear narratives and effective visualizations.
-
Influence prioritization and strategic decisions through evidence-based insights.
-
Communicate complex analytical concepts to both technical and non-technical audiences.
Analytics Excellence & Innovation
-
Partner with Data Engineering and Analytics teams to improve data quality, instrumentation, and accessibility.
-
Leverage modern analytics and AI-powered tools to accelerate analysis and improve team efficiency.
-
Contribute to scalable analytics best practices, governance, and continuous improvement across the organization.
ABOUT YOU
-
You think beyond dashboards and reporting, focusing on the business decisions, customer behaviors, and product outcomes behind the data.
-
You bring strong product and analytical instincts, using customer behavior, product usage patterns, and business outcomes to guide recommendations and influence product decisions.
-
You are naturally curious, comfortable navigating ambiguity, and able to bring structure and clarity to evolving challenges.
-
You can move seamlessly between technical analysis, stakeholder discussions, and executive communication.
-
You operate independently, take ownership of outcomes, and effectively influence stakeholders through sound judgment and analytical rigor.
WHAT YOU BRING
-
5+ years of experience in Business Intelligence, Product Analytics, Growth Analytics, or related analytical roles within B2B SaaS or technology organizations.
-
Demonstrated experience influencing product, business, or operational decisions through analytical insights and recommendations.
-
Strong SQL skills and experience working with large-scale datasets. Experience with Python or other analytical programming languages is a plus.
-
Experience partnering with cross-functional teams, including Product Management, Engineering, and Business stakeholders.
-
Proven ability to define KPIs, build measurement frameworks, and translate complex business questions into actionable analysis and recommendations.
-
Experience analyzing product adoption, customer behavior, engagement, retention, experimentation, or product performance.
-
Strong communication and data storytelling skills, with the ability to tailor insights to technical and executive audiences.
-
Demonstrated experience leveraging AI-powered tools and LLMs to accelerate analytical workflows, automate repetitive tasks, improve research efficiency, enhance data exploration, and generate actionable insights.
SUCCESS IN THIS ROLE MEANS
-
Product teams consistently use your analyses and recommendations to improve product experiences, customer outcomes, and business performance.
-
Product teams use your analyses to prioritize roadmap investments, evaluate tradeoffs, and make more informed product decisions.
-
Product and business metrics are trusted, accurate, clearly defined, and consistently applied across the organization.
-
Complex product and business questions are translated into clear analytical approaches that drive meaningful action and measurable outcomes.
-
Product opportunities, launches, and strategic initiatives are supported by clear measurement frameworks and well-defined success criteria.
-
Product launches, experiments, and strategic initiatives have measurable business impact.
-
Product decisions are increasingly informed by customer behavior, product usage patterns, and business performance insights.
-
ZoomInfo gains a deeper understanding of customer behavior, product adoption, engagement, and business performance through your work.
Equal Employment Opportunity (EEO) Statement
Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
About us:
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
INTRODUCTION
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen–fast.
ROLE
We are seeking a Senior Business Intelligence Analyst to help drive product strategy and execution through analytics, measurement, and actionable insights across Product, Product Leadership, and Engineering. This role is responsible for transforming complex product and business questions into actionable insights, scalable measurement approaches, and trusted analytics that influence product outcomes and business performance.
This role focuses on product analytics, customer behavior, product performance, and business outcomes. The successful candidate will help Product and Engineering teams understand what is happening, why it is happening, and what actions should be taken next.
The ideal candidate combines strong analytical skills, product thinking, business acumen, intellectual curiosity, and a bias toward action. They are comfortable navigating evolving business needs, quickly learning new domains, and applying data to solve complex product and customer challenges. They will independently own analytics initiatives from problem definition through recommendation while helping evolve how analytics supports Product and Engineering organizations.
You will operate with a high degree of autonomy and influence, partnering closely with Product Managers, Product Leadership, Engineering, Data Engineering, and Business Intelligence teams to ensure product investments are measurable, impactful, and aligned with business objectives.
Product Analytics Ownership
-
Partner with Product Managers and Engineering leaders to understand customer workflows, product experiences, user behaviors, and business objectives, using data to drive product strategy and decision-making.
-
Develop a deep understanding of customer workflows, product experiences, and user behaviors to identify opportunities for improved adoption, engagement, retention, and value realization.
-
Define success metrics and measurement plans for product launches, features, and strategic initiatives.
-
Develop and refine KPIs and measurement frameworks that align teams around product and business performance.
-
Partner with Product and Engineering teams to define event tracking requirements and ensure product telemetry supports meaningful measurement and analysis.
-
Quantify opportunity size and help Product teams prioritize investments based on expected customer value, business impact, and strategic objectives.
-
Support product teams throughout the product lifecycle, from opportunity identification and prioritization through launch and post-release evaluation.
Analytics Execution & Insight Generation
-
Conduct deep-dive analyses to identify trends, opportunities, risks, and root causes.
-
Translate complex business questions into actionable insights and recommendations.
-
Design, analyze, and communicate results from experiments, feature launches, and product initiatives, evaluating customer and business impact.
-
Identify and quantify opportunities to improve product experiences, customer engagement, retention, and business outcomes through data-driven analysis.
-
Evaluate tradeoffs between competing product investments and provide analytical recommendations that support roadmap prioritization.
Stakeholder Partnership & Data Storytelling
-
Act as a trusted analytics partner to Product, Engineering, and Leadership teams.
-
Present analytical findings and recommendations through clear narratives and effective visualizations.
-
Influence prioritization and strategic decisions through evidence-based insights.
-
Communicate complex analytical concepts to both technical and non-technical audiences.
Analytics Excellence & Innovation
-
Partner with Data Engineering and Analytics teams to improve data quality, instrumentation, and accessibility.
-
Leverage modern analytics and AI-powered tools to accelerate analysis and improve team efficiency.
-
Contribute to scalable analytics best practices, governance, and continuous improvement across the organization.
ABOUT YOU
-
You think beyond dashboards and reporting, focusing on the business decisions, customer behaviors, and product outcomes behind the data.
-
You bring strong product and analytical instincts, using customer behavior, product usage patterns, and business outcomes to guide recommendations and influence product decisions.
-
You are naturally curious, comfortable navigating ambiguity, and able to bring structure and clarity to evolving challenges.
-
You can move seamlessly between technical analysis, stakeholder discussions, and executive communication.
-
You operate independently, take ownership of outcomes, and effectively influence stakeholders through sound judgment and analytical rigor.
WHAT YOU BRING
-
5+ years of experience in Business Intelligence, Product Analytics, Growth Analytics, or related analytical roles within B2B SaaS or technology organizations.
-
Demonstrated experience influencing product, business, or operational decisions through analytical insights and recommendations.
-
Strong SQL skills and experience working with large-scale datasets. Experience with Python or other analytical programming languages is a plus.
-
Experience partnering with cross-functional teams, including Product Management, Engineering, and Business stakeholders.
-
Proven ability to define KPIs, build measurement frameworks, and translate complex business questions into actionable analysis and recommendations.
-
Experience analyzing product adoption, customer behavior, engagement, retention, experimentation, or product performance.
-
Strong communication and data storytelling skills, with the ability to tailor insights to technical and executive audiences.
-
Demonstrated experience leveraging AI-powered tools and LLMs to accelerate analytical workflows, automate repetitive tasks, improve research efficiency, enhance data exploration, and generate actionable insights.
SUCCESS IN THIS ROLE MEANS
-
Product teams consistently use your analyses and recommendations to improve product experiences, customer outcomes, and business performance.
-
Product teams use your analyses to prioritize roadmap investments, evaluate tradeoffs, and make more informed product decisions.
-
Product and business metrics are trusted, accurate, clearly defined, and consistently applied across the organization.
-
Complex product and business questions are translated into clear analytical approaches that drive meaningful action and measurable outcomes.
-
Product opportunities, launches, and strategic initiatives are supported by clear measurement frameworks and well-defined success criteria.
-
Product launches, experiments, and strategic initiatives have measurable business impact.
-
Product decisions are increasingly informed by customer behavior, product usage patterns, and business performance insights.
-
ZoomInfo gains a deeper understanding of customer behavior, product adoption, engagement, and business performance through your work.
Equal Employment Opportunity (EEO) Statement
Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
About us:
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
See all 246+ Senior Business Intelligence Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Business Intelligence Analyst roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Business Intelligence Analyst
Target industries with strong LCA filing histories
Finance, healthcare, retail, and enterprise tech companies file Labor Condition Applications for BI Analyst roles at high rates. Focusing your search on these sectors meaningfully increases your chances of finding an employer willing to sponsor.
Lead with your technical stack in applications
Employers sponsoring H-1B visas need to justify a specialty occupation. Highlighting tools like SQL, Tableau, Power BI, or Python signals the specialized expertise USCIS looks for when evaluating whether a role qualifies for sponsorship.
Prioritize employers with cap-exempt or prior sponsorship records
Companies that have sponsored H-1B visas before understand the process and are far less likely to withdraw an offer mid-application. DOL LCA disclosure data reveals which employers have filed for BI roles historically.
Confirm your degree field aligns with the role
USCIS expects a direct connection between your degree and the BI Analyst position. Degrees in computer science, information systems, statistics, or mathematics are the strongest match. Unrelated degrees may require additional documentation to establish qualification.
Ask about sponsorship policy before the final interview stage
Raising sponsorship early filters out employers who won't proceed, saving weeks of effort. Frame it as a logistics question, most hiring managers appreciate the directness, and it sets clear expectations before an offer is extended.
Use Migrate Mate to find roles already open to sponsorship
Migrate Mate surfaces BI Analyst positions from employers actively open to visa sponsorship, cutting out the filtering process. Browsing there lets you focus your energy on companies already willing to support your H-1B application.
Frequently Asked Questions
Does a Senior Business Intelligence Analyst role qualify as an H-1B specialty occupation?
Yes, Senior Business Intelligence Analyst positions consistently qualify as H-1B visa specialty occupations. USCIS requires the role to normally require a bachelor's degree or higher in a specific field, BI roles tied to computer science, information systems, statistics, or applied mathematics meet this standard. Roles framed as general management or that list a degree as preferred rather than required can face challenges, so the job description wording matters.
What degree do I need to get H-1B sponsorship as a Business Intelligence Analyst?
A bachelor's degree in computer science, information systems, statistics, mathematics, or a closely related quantitative field is the strongest foundation. A degree in business may work if the role is analytically intensive and the employer can document the degree requirement. USCIS evaluates the connection between your specific degree and the duties of the role, so mismatched fields, even with years of experience, can complicate the petition.
Which employers are most likely to sponsor H-1B visas for BI Analyst roles?
Large employers in financial services, healthcare systems, enterprise software, retail, and consulting sponsor BI Analyst positions at the highest rates. Companies like major banks, hospital networks, and technology firms regularly file LCAs for data and analytics roles. Smaller companies sponsor less frequently, not because they're unwilling, but because the legal and administrative overhead is harder to absorb. Migrate Mate filters specifically for employers open to sponsorship in this field.
How does H-1B lottery selection affect my chances as a BI Analyst?
Selection depends entirely on the lottery, not the role. USCIS runs a random selection from the roughly 85,000 cap-subject slots available each fiscal year. Having a strong BI background improves your petition's approvability once selected, but doesn't affect lottery odds. Applicants with a U.S. master's degree get a second selection chance in the advanced degree pool before the general pool draw, which modestly improves overall selection probability.
Can I switch employers on an H-1B as a Senior BI Analyst?
Yes. H-1B portability lets you start working for a new employer as soon as they file a new H-1B petition on your behalf, without waiting for approval. The new petition must be filed before your current authorized stay expires. Your new employer takes on the LCA and sponsorship obligations for the new role, and the job duties must still qualify as a specialty occupation. Most BI Analyst roles at comparable seniority levels transfer cleanly under this process.
What is the prevailing wage requirement for sponsored Senior Business Intelligence Analyst 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.