Analytics Engineer Jobs at Gusto with Visa Sponsorship
Gusto builds payroll and HR infrastructure used by hundreds of thousands of small businesses, and Analytics Engineers here work at the intersection of financial data, product telemetry, and compliance reporting. Gusto has an established track record of sponsoring work visas for this function across multiple visa categories.
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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
The Revenue Operations team at Gusto is a full-stack team responsible for data, analytics, and operational excellence in pursuit of scaling our revenue growth. The Go-To-Market Analytics team is one functional area, responsible for defining and owning the metrics for scaling our Sales teams. Gusto is looking for a Revenue Analytics Engineer to build and maintain foundational data infrastructure that is crucial to growing and scaling our Sales efforts. In this role, you will partner with our GTM analysts to scope and deliver data products for an audience ranging from company and revenue leadership to operational and frontline sales. In doing so, you will own significant portions of our sales data from end-to-end, focusing on the transformation, design, and visualization workflows. In addition, you will establish best practices for systems design and workflows to maximize usefulness of AI at scale. This role will report to the Head of Go-To-Market analytics, and partner closely with Data Science, Data Platform, and Business Technology teams.
Here’s What You’ll Do Day-to-day
- Establish relationships with internal stakeholders to determine business needs, scoping and delivering solutions through data products
- Design, build, and maintain data pipelines and dashboards to automate “keep the lights on” work out of manually-managed processes
- Build a data foundation by incorporating business logic into raw data tables, laying the groundwork to enable value-add insights
- Create a dynamic reporting environment based on stakeholder needs
- Identify data discrepancies and set best practices for data logic to create a clean and well-documented environment
- Collaborate with broader data organization as steward to the definition and process management of core Gusto metrics
Here’s What We're Looking For
- Education or work experience in Engineering or Computer Science, or a related technical field
- 7+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
- Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, etc.
- Command-line experience and familiarity with version control collaboration tools (git)
- Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and data modeling tools (dbt)
- Experience with data visualization technologies, e.g., Tableau, Looker, Sigma, Mode, Hex
- Experience with Python and data ingestion tools
- Ability to problem-solve open-ended problems and project manage dependencies and timelines to optimal outcomes
- Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA
Compensation
Our cash compensation amount for this role is targeted at $138,000-156,000 in Denver & most remote locations, and $168,000-189,000 in New York & San Francisco Bay Area. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Work Arrangement
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
The Revenue Operations team at Gusto is a full-stack team responsible for data, analytics, and operational excellence in pursuit of scaling our revenue growth. The Go-To-Market Analytics team is one functional area, responsible for defining and owning the metrics for scaling our Sales teams. Gusto is looking for a Revenue Analytics Engineer to build and maintain foundational data infrastructure that is crucial to growing and scaling our Sales efforts. In this role, you will partner with our GTM analysts to scope and deliver data products for an audience ranging from company and revenue leadership to operational and frontline sales. In doing so, you will own significant portions of our sales data from end-to-end, focusing on the transformation, design, and visualization workflows. In addition, you will establish best practices for systems design and workflows to maximize usefulness of AI at scale. This role will report to the Head of Go-To-Market analytics, and partner closely with Data Science, Data Platform, and Business Technology teams.
Here’s What You’ll Do Day-to-day
- Establish relationships with internal stakeholders to determine business needs, scoping and delivering solutions through data products
- Design, build, and maintain data pipelines and dashboards to automate “keep the lights on” work out of manually-managed processes
- Build a data foundation by incorporating business logic into raw data tables, laying the groundwork to enable value-add insights
- Create a dynamic reporting environment based on stakeholder needs
- Identify data discrepancies and set best practices for data logic to create a clean and well-documented environment
- Collaborate with broader data organization as steward to the definition and process management of core Gusto metrics
Here’s What We're Looking For
- Education or work experience in Engineering or Computer Science, or a related technical field
- 7+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
- Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, etc.
- Command-line experience and familiarity with version control collaboration tools (git)
- Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and data modeling tools (dbt)
- Experience with data visualization technologies, e.g., Tableau, Looker, Sigma, Mode, Hex
- Experience with Python and data ingestion tools
- Ability to problem-solve open-ended problems and project manage dependencies and timelines to optimal outcomes
- Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA
Compensation
Our cash compensation amount for this role is targeted at $138,000-156,000 in Denver & most remote locations, and $168,000-189,000 in New York & San Francisco Bay Area. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Work Arrangement
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 Analytics Engineer Jobs at Gusto Jobs
Frame your dbt and SQL depth early
Gusto's analytics stack centers on dbt-modeled data pipelines serving payroll and tax products. Before applying, document specific projects where you owned data modeling decisions, schema design, or pipeline reliability improvements. Generic SQL experience won't differentiate you.
Target teams tied to compliance reporting
Gusto's accounting and payroll compliance surfaces generate complex data requirements. Analytics Engineer roles supporting those functions tend to have stronger sponsorship continuity because the domain knowledge is hard to replace. Reference compliance reporting or financial data modeling in your application materials.
Verify your employer's E-Verify enrollment before signing
H-1B sponsorship legally requires the employer to be E-Verify enrolled. Confirm Gusto's enrollment status through the E-Verify employer search before your offer stage, so there are no surprises if your onboarding timeline is tight.
Align your start date with USCIS cap timelines
If you need an H-1B and aren't already in status, registration opens in March and employment can't begin before October 1. Build this into offer negotiations early. Gusto has experience structuring offers around this window, but you need to raise it proactively.
Use Migrate Mate to surface open Analytics Engineer roles at Gusto
Analytics Engineer headcount at Gusto fluctuates by product area and fiscal cycle. Use Migrate Mate to filter actively sponsored roles at Gusto by visa type, so you're applying to open requisitions that match your sponsorship situation rather than cold-reaching hiring managers.
Get your credentials assessed if your degree is from outside the U.S.
Specialty occupation petitions require USCIS to confirm your degree qualifies. For Analytics Engineer roles at Gusto, a credential evaluation from a NACES-member organization strengthens your I-129 petition if your undergraduate degree is from a non-U.S. institution, particularly for three-year degrees.
Analytics Engineer at Gusto jobs are hiring across the US. Find yours.
Find Analytics Engineer at Gusto JobsFrequently Asked Questions
Does Gusto sponsor H-1B visas for Analytics Engineers?
Yes, Gusto sponsors H-1B visas for Analytics Engineers. The role qualifies as a specialty occupation because it requires theoretical and practical application of computer science, data engineering, or a closely related field. Gusto files Labor Condition Applications through DOL before submitting H-1B petitions, and the company has a history of supporting this visa category for technical roles.
Which visa types does Gusto commonly use for Analytics Engineer roles?
Gusto sponsors H-1B visas for most Analytics Engineer hires requiring work authorization. Australian citizens can pursue the E-3 visa, which skips the lottery and allows year-round filing. For longer-term pathways, Gusto has sponsored EB-2 and EB-3 Green Cards for technical roles, typically after a period of employment.
What qualifications and experience does Gusto expect for Analytics Engineer roles?
Gusto's Analytics Engineer roles typically require a bachelor's degree or higher in computer science, data engineering, statistics, or a related quantitative field. Strong proficiency with dbt, SQL, and warehouse platforms like Snowflake or BigQuery is expected. Experience modeling financial, payroll, or compliance data is a meaningful differentiator given Gusto's product domain.
How do I apply for Analytics Engineer jobs at Gusto?
Search for open Analytics Engineer positions on Gusto's careers site and apply directly. To find roles filtered by visa sponsorship type, browse Migrate Mate, which surfaces Gusto's sponsored openings by visa category. When applying, tailor your materials to Gusto's payroll and financial data context rather than submitting a generic data engineering resume.
How do I plan my timeline for H-1B sponsorship at Gusto?
H-1B registration opens in March each year and work authorization under a new cap-subject petition begins October 1 at the earliest. If you receive a lottery selection, Gusto's immigration counsel typically files by June. Plan your offer discussions no later than January or February so the filing window doesn't become a point of negotiation pressure.
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