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
This is a senior individual contributor role within Avalara’s Customer Experience Operations team, supporting the broader Customer Experience Solutions (CES) organization. The role focuses on the operational performance data that reflects how customer-facing support teams across CES, including but not limited to Global Support Operations (GSO) and Customer Excellence (CX), are performing against their targets. You will use this data to tell insightful, compelling stories to and for the CES.
Sitting in Customer Operations, this role owns the integrity, alignment, and interpretation of under-the-hood operational data used to measure CES performance. You ensure that metrics tied to case handling, resolution, effort, deflection, and risk are consistently tracked, accurately reported, and trusted across the business, creating a reliable foundation for leadership decision-making.
A core responsibility of this role is forecasting and modeling how operational changes and customer-impacting initiatives, particularly AI-enabled capabilities, are affecting CES performance metrics such as Case Deflection, Customer Effort Score, Average Handling Time, Time to Resolution, and our core bonus metric at Avalara, CPO. You identify opportunities to apply AI and automation to improve operational efficiency, strengthen leading indicators, and increase confidence in our ability to meet CES and GoAI goals.
This role partners closely with the Customer Experience Office (CXO) analyst, especially during annual planning cycles, who define metric methodologies and experience-level insights, to ensure a clean and effective handoff between experience design and operational measurement. You translate CXO-defined metrics into operationally enforceable tracking, validate data sources and calculations, and continuously assess whether metrics remain aligned as business conditions and operating models change.
You will drive continuous improvement in how operational performance is measured and reported. Success in this role means faster, more trusted reporting for CES leaders; fewer ad hoc data requests; less time spent reconciling conflicting metrics across teams; and a reduction in dashboards and outputs to a small, trusted set that leaders rely on to run the business.
You will deliver trusted reporting and deep-dive analysis for CES and Customer Excellence leadership, including detailed analysis of Salesforce case data, categorization and routing patterns, performance drivers, and customer segments with elevated CPO. Your work enables earlier risk detection, quicker course correction, and clearer tradeoffs as CES balances quality, efficiency, and scale.
This role is critical to executing Avalara’s GoAI strategy by ensuring leadership has a clear, reliable view of operational performance and progress against efficiency and scale targets. You provide a direct, trusted line of sight between executive priorities and day-to-day operational reality, enabling confident decisions and faster action.
Bar Raiser Expectations
At Avalara, all employees are expected to act as Bar Raisers by holding themselves and others to high standards of ownership, quality, and continuous improvement. In this role, you will raise the bar for how CES performance is measured, interpreted, and acted on by:
- Setting and enforcing a high standard for metric integrity, documentation quality, and decision readiness.
- Applying strong judgment to challenge inconsistent definitions, unclear assumptions, or misleading signals before they reach leaders.
- Reducing ambiguity by creating simple, durable governance mechanisms that prevent metric drift across teams and platforms.
- Improving the maturity of CES reporting by consolidating dashboards into a small, trusted set that leaders rely on to run the business.
YOUR RESPONSIBILITIES
- Own the governance and enforcement of operational data and KPIs, including source-of-truth documentation, calculation integrity, and alignment across teams and platforms, in partnership with CXO-defined metric frameworks.
- Continuously simplify, standardize, and consolidate reporting to reduce redundancy, eliminate conflicting metrics, and improve clarity of operational performance signals for CES leaders.
- Partner with GAI and Data Science to ensure upstream data is structured, maintained, and evolved with integrity to support reliable operational reporting and forecasting.
- Collaborate with the Customer Transformation team to shape, QA, and maintain Power BI dashboards, ensuring outputs meet CES operational needs and are trusted for decision-making.
- Lead operational performance reporting for Monthly Business Reviews (MBRs), coordinating cross-functional inputs and producing clear, consistent outputs that enable faster leadership alignment.
- Build and maintain lightweight operational dashboards and reports using SQL, Excel, Power BI, and automation platforms to support ongoing performance tracking and ad hoc analysis.
- Identify and implement opportunities to automate reporting and streamline analytical workflows using AI tools, LLMs, scripting, or other efficiency levers.
- Work closely with analysts across CX and the broader Customer organization to:
- Align on data standards, definitions, and reporting best practices
- Maintain clear roles, responsibilities, and collaboration norms
- Prevent duplicative reporting, metric drift, or misaligned interpretations across teams
Success in this role is reflected in faster, more trusted reporting; fewer ad hoc data requests; reduced time spent reconciling metrics across teams; and a small, well-understood set of dashboards leaders rely on to run CES with confidence.
WHAT YOU'LL NEED TO BE SUCCESSFUL
- Bachelor’s degree in Business Analytics, Information Systems, Mathematics, or similar quantitative field.
- 4–6 years of experience in business intelligence, analytics, or data operations, supporting operational or customer-facing teams.
- Demonstrated experience incorporating AI or automation tools into reporting or data workflows to improve efficiency, consistency, or scalability of operational analytics.
- Strong SQL and Excel skills; proficiency with Power BI or equivalent BI platforms.
- Demonstrated experience governing operational metrics, maintaining KPI documentation, and standardizing reporting across teams.
- Experience working with CRM and support platforms such as Salesforce and Gainsight and understanding how operational workflows translate into data.
- Experience modeling trends, forecasting performance, or assessing the impact of operational changes on key metrics.
- Strong judgment in interpreting data in dynamic environments, including identifying risk, explaining tradeoffs, and recommending where attention or action is needed.
- Proven ability to work across technical and non-technical teams to align reporting structure, priorities, and ways of working.
- Comfortable driving structure, asking hard questions, setting a high bar for reporting quality, and reducing ambiguity in how performance is measured.
- Curiosity and working knowledge of automation or AI-enabled tools to improve reporting efficiency and scalability (without requiring deep data science expertise).
PREFERRED QUALIFICATIONS
- Experience with MBU, QBE, or operational review processes
- Exposure to enterprise data architecture or performance management systems
AI BAR RAISER EXPECTATIONS
The successful candidate will be an AI Bar Raiser for operational performance measurement in CES by using AI to materially improve speed, quality, and scale of reporting and insight delivery.
- Identify, prioritize, and implement AI-enabled automation that reduces manual reporting effort and improves consistency of operational analytics.
- Apply AI thoughtfully to accelerate insight generation, anomaly detection, forecasting, and root cause analysis for CES performance drivers.
- Partner with Data Science and GoAI teams to productionize AI-enabled workflows, not just test concepts, and measure the operational impact.
- Establish measurable improvements such as faster reporting cycles, fewer ad hoc requests, improved leading indicator reliability, or stronger forecast accuracy.
- Model responsible AI usage, including data governance, interpretability, and clear communication of limitations.
COMPENSATION
The base pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.
- Colorado $111,300-$178,100
- Washington $111,300-$196,700
- California $111,300-$215,400
- NYC $122,900-$215,400
The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate's actual salary/wage may be based on various factors, such as geographic location, candidate experience and qualifications, as well as market and business considerations. This role is eligible for an annual bonus based on individual and company performance, depending on the terms of the applicable plan and the employee's role.
Avalara is an AI-first Company:
AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability. You’ll bring experience using AI and AI-related technologies, ready to thrive here. You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers. You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.
HOW WE'LL TAKE CARE OF YOU
Total Rewards
In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.
Health & Wellness
Benefits vary by location but generally include private medical, life, and disability insurance.
Inclusive culture and diversity
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.
WHAT YOU NEED TO KNOW ABOUT AVALARA
We’re defining the relationship between tax and tech.
We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.
We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.
We’re An Equal Opportunity Employer
Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.
INTRODUCTION
This is a senior individual contributor role within Avalara’s Customer Experience Operations team, supporting the broader Customer Experience Solutions (CES) organization. The role focuses on the operational performance data that reflects how customer-facing support teams across CES, including but not limited to Global Support Operations (GSO) and Customer Excellence (CX), are performing against their targets. You will use this data to tell insightful, compelling stories to and for the CES.
Sitting in Customer Operations, this role owns the integrity, alignment, and interpretation of under-the-hood operational data used to measure CES performance. You ensure that metrics tied to case handling, resolution, effort, deflection, and risk are consistently tracked, accurately reported, and trusted across the business, creating a reliable foundation for leadership decision-making.
A core responsibility of this role is forecasting and modeling how operational changes and customer-impacting initiatives, particularly AI-enabled capabilities, are affecting CES performance metrics such as Case Deflection, Customer Effort Score, Average Handling Time, Time to Resolution, and our core bonus metric at Avalara, CPO. You identify opportunities to apply AI and automation to improve operational efficiency, strengthen leading indicators, and increase confidence in our ability to meet CES and GoAI goals.
This role partners closely with the Customer Experience Office (CXO) analyst, especially during annual planning cycles, who define metric methodologies and experience-level insights, to ensure a clean and effective handoff between experience design and operational measurement. You translate CXO-defined metrics into operationally enforceable tracking, validate data sources and calculations, and continuously assess whether metrics remain aligned as business conditions and operating models change.
You will drive continuous improvement in how operational performance is measured and reported. Success in this role means faster, more trusted reporting for CES leaders; fewer ad hoc data requests; less time spent reconciling conflicting metrics across teams; and a reduction in dashboards and outputs to a small, trusted set that leaders rely on to run the business.
You will deliver trusted reporting and deep-dive analysis for CES and Customer Excellence leadership, including detailed analysis of Salesforce case data, categorization and routing patterns, performance drivers, and customer segments with elevated CPO. Your work enables earlier risk detection, quicker course correction, and clearer tradeoffs as CES balances quality, efficiency, and scale.
This role is critical to executing Avalara’s GoAI strategy by ensuring leadership has a clear, reliable view of operational performance and progress against efficiency and scale targets. You provide a direct, trusted line of sight between executive priorities and day-to-day operational reality, enabling confident decisions and faster action.
Bar Raiser Expectations
At Avalara, all employees are expected to act as Bar Raisers by holding themselves and others to high standards of ownership, quality, and continuous improvement. In this role, you will raise the bar for how CES performance is measured, interpreted, and acted on by:
- Setting and enforcing a high standard for metric integrity, documentation quality, and decision readiness.
- Applying strong judgment to challenge inconsistent definitions, unclear assumptions, or misleading signals before they reach leaders.
- Reducing ambiguity by creating simple, durable governance mechanisms that prevent metric drift across teams and platforms.
- Improving the maturity of CES reporting by consolidating dashboards into a small, trusted set that leaders rely on to run the business.
YOUR RESPONSIBILITIES
- Own the governance and enforcement of operational data and KPIs, including source-of-truth documentation, calculation integrity, and alignment across teams and platforms, in partnership with CXO-defined metric frameworks.
- Continuously simplify, standardize, and consolidate reporting to reduce redundancy, eliminate conflicting metrics, and improve clarity of operational performance signals for CES leaders.
- Partner with GAI and Data Science to ensure upstream data is structured, maintained, and evolved with integrity to support reliable operational reporting and forecasting.
- Collaborate with the Customer Transformation team to shape, QA, and maintain Power BI dashboards, ensuring outputs meet CES operational needs and are trusted for decision-making.
- Lead operational performance reporting for Monthly Business Reviews (MBRs), coordinating cross-functional inputs and producing clear, consistent outputs that enable faster leadership alignment.
- Build and maintain lightweight operational dashboards and reports using SQL, Excel, Power BI, and automation platforms to support ongoing performance tracking and ad hoc analysis.
- Identify and implement opportunities to automate reporting and streamline analytical workflows using AI tools, LLMs, scripting, or other efficiency levers.
- Work closely with analysts across CX and the broader Customer organization to:
- Align on data standards, definitions, and reporting best practices
- Maintain clear roles, responsibilities, and collaboration norms
- Prevent duplicative reporting, metric drift, or misaligned interpretations across teams
Success in this role is reflected in faster, more trusted reporting; fewer ad hoc data requests; reduced time spent reconciling metrics across teams; and a small, well-understood set of dashboards leaders rely on to run CES with confidence.
WHAT YOU'LL NEED TO BE SUCCESSFUL
- Bachelor’s degree in Business Analytics, Information Systems, Mathematics, or similar quantitative field.
- 4–6 years of experience in business intelligence, analytics, or data operations, supporting operational or customer-facing teams.
- Demonstrated experience incorporating AI or automation tools into reporting or data workflows to improve efficiency, consistency, or scalability of operational analytics.
- Strong SQL and Excel skills; proficiency with Power BI or equivalent BI platforms.
- Demonstrated experience governing operational metrics, maintaining KPI documentation, and standardizing reporting across teams.
- Experience working with CRM and support platforms such as Salesforce and Gainsight and understanding how operational workflows translate into data.
- Experience modeling trends, forecasting performance, or assessing the impact of operational changes on key metrics.
- Strong judgment in interpreting data in dynamic environments, including identifying risk, explaining tradeoffs, and recommending where attention or action is needed.
- Proven ability to work across technical and non-technical teams to align reporting structure, priorities, and ways of working.
- Comfortable driving structure, asking hard questions, setting a high bar for reporting quality, and reducing ambiguity in how performance is measured.
- Curiosity and working knowledge of automation or AI-enabled tools to improve reporting efficiency and scalability (without requiring deep data science expertise).
PREFERRED QUALIFICATIONS
- Experience with MBU, QBE, or operational review processes
- Exposure to enterprise data architecture or performance management systems
AI BAR RAISER EXPECTATIONS
The successful candidate will be an AI Bar Raiser for operational performance measurement in CES by using AI to materially improve speed, quality, and scale of reporting and insight delivery.
- Identify, prioritize, and implement AI-enabled automation that reduces manual reporting effort and improves consistency of operational analytics.
- Apply AI thoughtfully to accelerate insight generation, anomaly detection, forecasting, and root cause analysis for CES performance drivers.
- Partner with Data Science and GoAI teams to productionize AI-enabled workflows, not just test concepts, and measure the operational impact.
- Establish measurable improvements such as faster reporting cycles, fewer ad hoc requests, improved leading indicator reliability, or stronger forecast accuracy.
- Model responsible AI usage, including data governance, interpretability, and clear communication of limitations.
COMPENSATION
The base pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.
- Colorado $111,300-$178,100
- Washington $111,300-$196,700
- California $111,300-$215,400
- NYC $122,900-$215,400
The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate's actual salary/wage may be based on various factors, such as geographic location, candidate experience and qualifications, as well as market and business considerations. This role is eligible for an annual bonus based on individual and company performance, depending on the terms of the applicable plan and the employee's role.
Avalara is an AI-first Company:
AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability. You’ll bring experience using AI and AI-related technologies, ready to thrive here. You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers. You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.
HOW WE'LL TAKE CARE OF YOU
Total Rewards
In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.
Health & Wellness
Benefits vary by location but generally include private medical, life, and disability insurance.
Inclusive culture and diversity
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.
WHAT YOU NEED TO KNOW ABOUT AVALARA
We’re defining the relationship between tax and tech.
We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.
We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.
We’re An Equal Opportunity Employer
Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.
See all 274+ Senior Business Intelligence Analyst jobs
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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.
Senior Business Intelligence Analyst jobs are hiring across the US. Find yours.
Find Senior Business Intelligence Analyst JobsFrequently 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 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.
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