Data Analyst Jobs at Gusto with Visa Sponsorship
Gusto's Data Analyst roles sit at the intersection of payroll infrastructure, small business financial data, and product analytics. Gusto has a consistent track record of sponsoring work visas for this function, making it a viable target if you're navigating H-1B, E-3, or employment-based Green Card pathways.
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About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy.
About The Role
Gusto is looking for highly skilled and motivated Data Scientists with extensive experience (7+ years) applying their expertise in a business environment. As a Staff Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive.
About The Team
In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You’ll also integrate AI-assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. We have multiple senior roles open on both our (1) Growth and (2) Core Products data science teams.
Here’s What You’ll Do Day-to-day
- Lead: Own ambiguous problems, design analysis frameworks, and introduce structure that scales across multiple product domains.
- Strategic Partnership: Collaborate with product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategy, and guide data-informed decision-making.
- Analytical Rigor: Apply advanced statistical methods, causal inference, experimentation, and AI-assisted analytics to surface drivers of product performance, separating signal from noise.
- Experimentation & Measurement: Design, analyze, and interpret experiments; ensure insights highlight trade-offs and limitations based on sample size and data quality.
- Execution: Deliver multiple high-impact projects, balancing trade-offs to maximize business value, and maintain clear expectations of deliverables and timelines.
- Communication: Present complex findings in a structured, compelling way to technical and non-technical stakeholders, fostering a data-informed mindset across the company.
- Independence: Work with minimal guidance to prioritize, create, and deliver data science roadmaps, proactively resolving conflicts or misalignment across stakeholders.
- Scaling the Craft: Mentor other data practitioners, up-level team best practices in experimentation, statistical modeling, and metric interpretation. Drive improvements in data quality, rigor, and adoption of better data capabilities leveraging AI-native tools and workflows across the org.
Here’s What We're Looking For
- 7–10 years of experience in Data Science at a product-focused software company.
- Strong SQL skills and comfort with Python.
- Proven ability to apply statistical methods, causal inference, AI tools, and experimental design to real business problems.
- Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership.
- Demonstrated experience leading large, technically complex projects with clear business impact.
- A proactive, resilient problem-solver who independently structures ambiguous problems into actionable insights.
- Passion for mentoring others and raising the bar for data science craft across the team.
- BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience.
Our cash compensation amount for this role is targeted at $154,000/yr - $181,000/yr in Denver, and $175,000/yr - $225,000 for San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy.
About The Role
Gusto is looking for highly skilled and motivated Data Scientists with extensive experience (7+ years) applying their expertise in a business environment. As a Staff Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive.
About The Team
In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You’ll also integrate AI-assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. We have multiple senior roles open on both our (1) Growth and (2) Core Products data science teams.
Here’s What You’ll Do Day-to-day
- Lead: Own ambiguous problems, design analysis frameworks, and introduce structure that scales across multiple product domains.
- Strategic Partnership: Collaborate with product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategy, and guide data-informed decision-making.
- Analytical Rigor: Apply advanced statistical methods, causal inference, experimentation, and AI-assisted analytics to surface drivers of product performance, separating signal from noise.
- Experimentation & Measurement: Design, analyze, and interpret experiments; ensure insights highlight trade-offs and limitations based on sample size and data quality.
- Execution: Deliver multiple high-impact projects, balancing trade-offs to maximize business value, and maintain clear expectations of deliverables and timelines.
- Communication: Present complex findings in a structured, compelling way to technical and non-technical stakeholders, fostering a data-informed mindset across the company.
- Independence: Work with minimal guidance to prioritize, create, and deliver data science roadmaps, proactively resolving conflicts or misalignment across stakeholders.
- Scaling the Craft: Mentor other data practitioners, up-level team best practices in experimentation, statistical modeling, and metric interpretation. Drive improvements in data quality, rigor, and adoption of better data capabilities leveraging AI-native tools and workflows across the org.
Here’s What We're Looking For
- 7–10 years of experience in Data Science at a product-focused software company.
- Strong SQL skills and comfort with Python.
- Proven ability to apply statistical methods, causal inference, AI tools, and experimental design to real business problems.
- Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership.
- Demonstrated experience leading large, technically complex projects with clear business impact.
- A proactive, resilient problem-solver who independently structures ambiguous problems into actionable insights.
- Passion for mentoring others and raising the bar for data science craft across the team.
- BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience.
Our cash compensation amount for this role is targeted at $154,000/yr - $181,000/yr in Denver, and $175,000/yr - $225,000 for San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
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Get Access To All JobsTips for Finding Data Analyst Jobs at Gusto Jobs
Frame your analytics work around payroll data
Gusto's core product is payroll and HR software for small businesses. Analysts who can speak to financial data modeling, compliance reporting, or tax workflow analysis stand out because the work directly mirrors what Gusto's data teams actually own.
Verify Gusto's E-Verify enrollment before applying
Gusto participates in E-Verify, which is a prerequisite for sponsoring work-authorized employees. Confirming this early tells you the infrastructure for sponsorship is already in place, so the conversation with a recruiter can move straight to timeline and role fit.
Target roles that sit inside the product or finance org
Gusto's open Data Analyst positions span multiple teams. Roles embedded in product or finance are more likely to involve the specialized financial and operational datasets that support a specialty occupation determination, which matters when USCIS evaluates your H-1B petition.
Get your credential evaluation done before the offer stage
If your degree is from outside the U.S., have a NACES-approved evaluator confirm it meets U.S. bachelor's equivalency before Gusto begins LCA filing with DOL. Waiting until after the offer adds weeks to a process that already has tight H-1B cap deadlines.
Use Migrate Mate to surface active Data Analyst openings at Gusto
Gusto's careers page rotates listings frequently. Use Migrate Mate to filter for Data Analyst roles at Gusto that are open to visa sponsorship, so you're applying to live openings rather than positions that have already closed or paused sponsorship.
Ask about EB-2 or EB-3 timelines during the offer conversation
Gusto has sponsored both EB-2 and EB-3 Green Cards for technical roles. If your priority date matters to your long-term planning, ask the recruiter whether the role has historically supported PERM-based sponsorship, since the answer often depends on the specific team's headcount structure.
Data Analyst at Gusto jobs are hiring across the US. Find yours.
Find Data Analyst at Gusto JobsFrequently Asked Questions
Does Gusto sponsor H-1B visas for Data Analysts?
Yes, Gusto sponsors H-1B visas for Data Analyst roles. The company files Labor Condition Applications with DOL before submitting petitions to USCIS, which is the standard employer-led process. Because Data Analyst positions at Gusto involve specialized work with payroll, financial, and product data, they generally meet the specialty occupation threshold USCIS requires for H-1B approval.
Which visa types does Gusto sponsor for Data Analyst roles?
Gusto sponsors H-1B, E-3, and employment-based Green Card categories including EB-2 and EB-3 for Data Analyst positions. Australian citizens should specifically flag E-3 eligibility early, since it runs on a separate track from H-1B with no lottery. Green Card sponsorship through PERM is typically available for longer-tenure employees and depends on the specific team and headcount.
How do I apply for Data Analyst jobs at Gusto?
You can find and apply for Data Analyst roles at Gusto through Migrate Mate, which filters for positions open to visa sponsorship. When applying, tailor your resume to Gusto's product domain, specifically payroll data, SMB financial workflows, and product analytics. Gusto's interview process for analysts typically includes a technical screen, a case study or take-home, and multiple team-fit rounds.
What qualifications does Gusto expect for sponsored Data Analyst roles?
Gusto generally expects a bachelor's degree or higher in a quantitative field such as statistics, economics, computer science, or a related discipline. Practical experience with SQL is consistently listed as a requirement. Familiarity with Python or R, experience working with large transactional datasets, and exposure to financial or payroll data are recurring qualifications across Gusto's Data Analyst postings.
How do I plan my timeline if I need H-1B sponsorship for a Gusto role?
The H-1B cap registration window opens in March each year, with a lottery typically run in late March and petitions filed from April 1. If you're targeting Gusto, aim to have an offer and completed LCA filing with DOL finalized before the registration deadline. USCIS typically issues cap-subject approvals with an October 1 start date, so budget at least six to eight months from offer to work authorization start.
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