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.
Find Senior Business Intelligence Analyst JobsOverview
Showing 5 of 5,629+ Senior Business Intelligence Analyst jobs
See all 5,629+ 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 JobsINTRODUCTION
Why Choose Bottomline? Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team!
THE ROLE
The Director, Customer Intelligence & AI is responsible for building and leading the company's customer intelligence and artificial intelligence capabilities, creating a strategic advantage through data-driven insights, predictive analytics, and intelligent automation. This role serves as the intelligence engine of the Revenue Management organization by transforming customer, product, commercial, operational, support, and financial data into actionable insights that drive revenue growth, improve customer retention, and accelerate business performance. The Director will develop a centralized Customer Intelligence Platform that provides a unified view of customer health, value realization, product adoption, retention risk, expansion opportunity, and commercial performance. The role will partner closely with Revenue Strategy & Analytics, Revenue Growth Programs, Renewal Operations & Commercial Optimization, Customer Success, Customer Support, Product, Sales, and Finance to identify opportunities and enable execution.
The Mission is to build the organization's customer intelligence and AI capabilities by transforming customer data into predictive insights that uncover revenue opportunities, improve customer retention, enable intelligent automation, and accelerate sustainable business growth. The ideal candidate combines expertise in data science, AI, machine learning, customer analytics, business intelligence, and commercial strategy with the ability to influence decision-making at the executive level.
KEY RESPONSIBILITIES
Customer Intelligence Strategy & Platform Development:
- Design, build, and maintain a centralized Customer Intelligence Platform.
- Develop a comprehensive Customer 360 environment integrating:
- Product usage data
- Customer Success data
- Customer Support interactions
- CRM activity
- Contract and renewal data
- Financial and billing information
- Customer sentiment and engagement metrics
- Establish governance, quality standards, and ownership for customer intelligence data.
- Create scalable and reusable customer intelligence frameworks supporting the organization's growth objectives.
- Develop customer health, customer value, and customer maturity measurement methodologies.
Revenue Opportunity Identification
- Develop advanced analytical models that identify revenue growth opportunities across the customer lifecycle.
- Create predictive models that surface:
- Expansion opportunities
- Upsell opportunities
- Cross-sell opportunities
- Pricing optimization opportunities
- Customer retention risks
- Revenue leakage
- Build recommendation engines that prioritize the highest-value customer actions.
- Quantify revenue potential and expected business impact for identified opportunities.
- Establish an ongoing pipeline of actionable revenue opportunities for business review and prioritization.
Partner With The Director, Revenue Strategy & Analytics To
- Build predictive revenue and customer behavior models.
- Develop advanced customer segmentation frameworks.
- Improve forecasting accuracy through predictive analytics.
- Identify leading indicators of churn, retention, growth, and customer health.
- Analyze pricing effectiveness and commercial performance.
- Deliver executive insights that support revenue planning and strategic decision-making.
- Transform descriptive reporting into predictive and prescriptive analytics.
Primary Outcome: Enable Revenue Strategy & Analytics to identify, validate, quantify, and prioritize revenue opportunities through data-driven customer intelligence
Partner With The Director, Revenue Growth Programs To
- Translate identified opportunities into executable growth initiatives.
- Prioritize opportunities based on expected revenue impact and likelihood of success.
- Develop business cases supporting strategic investments and growth programs.
- Measure initiative effectiveness and return on investment.
- Monitor execution outcomes and feed learnings back into opportunity identification models.
- Create closed-loop reporting between opportunity identification and program execution.
Primary Outcome: Deliver a continuously refreshed inventory of high-value growth opportunities ready for implementation across the business.
Partner with the Director, Renewal Operations & Commercial Optimization to:
- Develop predictive customer retention and churn models.
- Build renewal risk identification frameworks.
- Support pricing optimization and renewal strategy initiatives.
- Create AI-assisted renewal prioritization and recommendation engines.
- Improve renewal forecasting through predictive analytics.
- Enable automation of renewal workflows and decision-support processes.
Primary Outcome: Improve customer retention, reduce revenue attrition, and increase renewal performance through advanced customer intelligence.
Artificial Intelligence Strategy & Enablement
- Lead evaluation and implementation of AI solutions across Revenue Management and customer-facing functions.
- Identify opportunities to leverage AI to improve customer outcomes, productivity, and decision-making.
- Develop AI-enabled workflows that automate repetitive analysis and operational activities.
- Evaluate emerging AI technologies and their potential business applications.
- Establish AI governance, adoption, and performance measurement frameworks.
- Serve as the organization's subject matter expert on customer intelligence and AI innovation.
Executive Reporting & Business Insights
- Develop executive dashboards, scorecards, and intelligence reporting.
- Present strategic findings and recommendations to senior leadership.
- Translate complex analytical findings into clear, business-focused recommendations.
- Support annual planning, forecasting, operating reviews, and executive decision-making.
- Serve as a trusted advisor on customer trends, commercial opportunities, and AI strategy.
Success Metrics
Customer Intelligence
- Customer Intelligence Platform Adoption
- Customer Data Coverage
- Customer Data Quality
- Customer Health Score Accuracy
- Executive Dashboard Utilization
Revenue Impact
- Revenue Opportunities Identified
- Estimated Revenue Pipeline Generated
- Expansion Opportunity Conversion
- Revenue Leakage Reduction
- Customer Retention Improvement
Predictive Analytics
- Churn Prediction Accuracy
- Customer Health Prediction Accuracy
- Forecast Accuracy Improvement
- Revenue Opportunity Identification Accuracy
AI & Automation
- AI Solution Adoption
- Productivity Improvements
- Automated Decision Support Utilization
- Time Savings Generated Through Automation
Business Impact
- Growth Program ROI
- Customer Retention Improvement
- Executive Stakeholder Satisfaction
- Business Value Created Through Customer Intelligence
QUALIFICATIONS AND SKILLS REQUIRED
- Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, Business, or related field.
- 8+ years of experience in Data Science, Customer Analytics, Business Intelligence, Revenue Analytics, Machine Learning, AI, or related disciplines.
- Experience building predictive models and advanced analytical solutions.
- Strong proficiency with SQL, Python, and modern analytics platforms.
- Experience working with large-scale customer and commercial datasets.
- Proven ability to translate data into strategic business recommendations.
- Strong communication and executive presentation skills.
- Experience influencing cross-functional business leaders.
PREFERRED QUALIFICATIONS AND SKILLS
- Master's degree in Data Science, Analytics, Statistics, Business Analytics, Computer Science, or related field.
- Experience in SaaS, technology, subscription, fintech, or recurring revenue businesses.
- Experience building Customer 360, Customer Intelligence, or Customer Health platforms.
- Experience with Generative AI, Agentic AI, Machine Learning, and predictive analytics solutions.
- Familiarity with CRM, Customer Success, Support, Product Usage, and Revenue Operations systems.
CORE COMPETENCIES
- Customer Intelligence
- Artificial Intelligence Strategy
- Data Science & Machine Learning
- Predictive Analytics
- Revenue Growth Analytics
- Customer Segmentation
- Commercial Analytics
- Business Intelligence
- Executive Storytelling
- Strategic Thinking
- Innovation & Continuous Improvement
- Cross-Functional Leadership
We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.
INTRODUCTION
Why Choose Bottomline? Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team!
THE ROLE
The Director, Customer Intelligence & AI is responsible for building and leading the company's customer intelligence and artificial intelligence capabilities, creating a strategic advantage through data-driven insights, predictive analytics, and intelligent automation. This role serves as the intelligence engine of the Revenue Management organization by transforming customer, product, commercial, operational, support, and financial data into actionable insights that drive revenue growth, improve customer retention, and accelerate business performance. The Director will develop a centralized Customer Intelligence Platform that provides a unified view of customer health, value realization, product adoption, retention risk, expansion opportunity, and commercial performance. The role will partner closely with Revenue Strategy & Analytics, Revenue Growth Programs, Renewal Operations & Commercial Optimization, Customer Success, Customer Support, Product, Sales, and Finance to identify opportunities and enable execution.
The Mission is to build the organization's customer intelligence and AI capabilities by transforming customer data into predictive insights that uncover revenue opportunities, improve customer retention, enable intelligent automation, and accelerate sustainable business growth. The ideal candidate combines expertise in data science, AI, machine learning, customer analytics, business intelligence, and commercial strategy with the ability to influence decision-making at the executive level.
KEY RESPONSIBILITIES
Customer Intelligence Strategy & Platform Development:
- Design, build, and maintain a centralized Customer Intelligence Platform.
- Develop a comprehensive Customer 360 environment integrating:
- Product usage data
- Customer Success data
- Customer Support interactions
- CRM activity
- Contract and renewal data
- Financial and billing information
- Customer sentiment and engagement metrics
- Establish governance, quality standards, and ownership for customer intelligence data.
- Create scalable and reusable customer intelligence frameworks supporting the organization's growth objectives.
- Develop customer health, customer value, and customer maturity measurement methodologies.
Revenue Opportunity Identification
- Develop advanced analytical models that identify revenue growth opportunities across the customer lifecycle.
- Create predictive models that surface:
- Expansion opportunities
- Upsell opportunities
- Cross-sell opportunities
- Pricing optimization opportunities
- Customer retention risks
- Revenue leakage
- Build recommendation engines that prioritize the highest-value customer actions.
- Quantify revenue potential and expected business impact for identified opportunities.
- Establish an ongoing pipeline of actionable revenue opportunities for business review and prioritization.
Partner With The Director, Revenue Strategy & Analytics To
- Build predictive revenue and customer behavior models.
- Develop advanced customer segmentation frameworks.
- Improve forecasting accuracy through predictive analytics.
- Identify leading indicators of churn, retention, growth, and customer health.
- Analyze pricing effectiveness and commercial performance.
- Deliver executive insights that support revenue planning and strategic decision-making.
- Transform descriptive reporting into predictive and prescriptive analytics.
Primary Outcome: Enable Revenue Strategy & Analytics to identify, validate, quantify, and prioritize revenue opportunities through data-driven customer intelligence
Partner With The Director, Revenue Growth Programs To
- Translate identified opportunities into executable growth initiatives.
- Prioritize opportunities based on expected revenue impact and likelihood of success.
- Develop business cases supporting strategic investments and growth programs.
- Measure initiative effectiveness and return on investment.
- Monitor execution outcomes and feed learnings back into opportunity identification models.
- Create closed-loop reporting between opportunity identification and program execution.
Primary Outcome: Deliver a continuously refreshed inventory of high-value growth opportunities ready for implementation across the business.
Partner with the Director, Renewal Operations & Commercial Optimization to:
- Develop predictive customer retention and churn models.
- Build renewal risk identification frameworks.
- Support pricing optimization and renewal strategy initiatives.
- Create AI-assisted renewal prioritization and recommendation engines.
- Improve renewal forecasting through predictive analytics.
- Enable automation of renewal workflows and decision-support processes.
Primary Outcome: Improve customer retention, reduce revenue attrition, and increase renewal performance through advanced customer intelligence.
Artificial Intelligence Strategy & Enablement
- Lead evaluation and implementation of AI solutions across Revenue Management and customer-facing functions.
- Identify opportunities to leverage AI to improve customer outcomes, productivity, and decision-making.
- Develop AI-enabled workflows that automate repetitive analysis and operational activities.
- Evaluate emerging AI technologies and their potential business applications.
- Establish AI governance, adoption, and performance measurement frameworks.
- Serve as the organization's subject matter expert on customer intelligence and AI innovation.
Executive Reporting & Business Insights
- Develop executive dashboards, scorecards, and intelligence reporting.
- Present strategic findings and recommendations to senior leadership.
- Translate complex analytical findings into clear, business-focused recommendations.
- Support annual planning, forecasting, operating reviews, and executive decision-making.
- Serve as a trusted advisor on customer trends, commercial opportunities, and AI strategy.
Success Metrics
Customer Intelligence
- Customer Intelligence Platform Adoption
- Customer Data Coverage
- Customer Data Quality
- Customer Health Score Accuracy
- Executive Dashboard Utilization
Revenue Impact
- Revenue Opportunities Identified
- Estimated Revenue Pipeline Generated
- Expansion Opportunity Conversion
- Revenue Leakage Reduction
- Customer Retention Improvement
Predictive Analytics
- Churn Prediction Accuracy
- Customer Health Prediction Accuracy
- Forecast Accuracy Improvement
- Revenue Opportunity Identification Accuracy
AI & Automation
- AI Solution Adoption
- Productivity Improvements
- Automated Decision Support Utilization
- Time Savings Generated Through Automation
Business Impact
- Growth Program ROI
- Customer Retention Improvement
- Executive Stakeholder Satisfaction
- Business Value Created Through Customer Intelligence
QUALIFICATIONS AND SKILLS REQUIRED
- Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, Business, or related field.
- 8+ years of experience in Data Science, Customer Analytics, Business Intelligence, Revenue Analytics, Machine Learning, AI, or related disciplines.
- Experience building predictive models and advanced analytical solutions.
- Strong proficiency with SQL, Python, and modern analytics platforms.
- Experience working with large-scale customer and commercial datasets.
- Proven ability to translate data into strategic business recommendations.
- Strong communication and executive presentation skills.
- Experience influencing cross-functional business leaders.
PREFERRED QUALIFICATIONS AND SKILLS
- Master's degree in Data Science, Analytics, Statistics, Business Analytics, Computer Science, or related field.
- Experience in SaaS, technology, subscription, fintech, or recurring revenue businesses.
- Experience building Customer 360, Customer Intelligence, or Customer Health platforms.
- Experience with Generative AI, Agentic AI, Machine Learning, and predictive analytics solutions.
- Familiarity with CRM, Customer Success, Support, Product Usage, and Revenue Operations systems.
CORE COMPETENCIES
- Customer Intelligence
- Artificial Intelligence Strategy
- Data Science & Machine Learning
- Predictive Analytics
- Revenue Growth Analytics
- Customer Segmentation
- Commercial Analytics
- Business Intelligence
- Executive Storytelling
- Strategic Thinking
- Innovation & Continuous Improvement
- Cross-Functional Leadership
We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.
See all 5,629+ 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.