Stripe
Posted 75 days agoVerified live 14h ago
Operations Insights, Tax
Brief overview
Remote
3+ yrsMinimum
694 H-1B approvalsDept. of Labor
302 green cardsCertified filings
Operations analyticsBusiness intelligenceData analysisSQLTableauLookerDashboard buildingReporting toolsStatistical analysisExperimentation frameworksPythonRCurious investigatorClear communicatorCollaborative partner
About the company
Stripestripe.com
Stripe is an API technology company that provides online payment processing and commerce solutions for Internet businesses.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.694H-1B approved
98%approval rate
112new H-1B hires
302PERM certified
$172,744median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
2023149
2024265
2025211
202669
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202342
202486
202558
202641
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
202372
202447
2025170
202613
Top sponsored roles
Software EngineerBackend/API EngineerBackend / API EngineerProduct ManagerData Analyst
Sponsored employees from
IndiaChinaCanadaUnited KingdomSouth Africa
Job description
Summary
Stripe is a financial infrastructure platform for businesses, enabling companies to accept payments and accelerate new business opportunities. The Operations Insights analyst role focuses on improving Tax operations by analyzing data, uncovering insights, and building reporting infrastructure to support decision-making processes.
Responsibilities
- Investigate operational performance: Conduct deep-dive analyses to uncover why metrics change, distinguish signal from noise, and identify root causes across filing operations, user operations, and risk workflows
- Partner with operations teams: Work directly with operational teams to analyze workflows, understand user behavior, and translate findings into actionable recommendations
- Improve measurement rigor: Refine metric definitions, ensure data reliability, and strengthen how we measure operational performance across the organization
- Support experiments and improvements: Apply statistical analysis to evaluate the impact of operational changes and experiments
- Enable operational observability: Create systems, dashboards, and self-serve reporting tools that allow operational teams to explore and interpret performance data on their own and reduce recurring data requests
- Communicate insights to leadership: Prepare clear, compelling operational insights for leadership reviews and strategic planning discussions
Skills
- 3+ years of experience in operations analytics, business intelligence, or data analysis
- Strong SQL skills and experience working with large operational datasets
- Experience building dashboards and reporting tools (e.g., Tableau, Looker, or similar)
- Demonstrated ability to conduct investigations and identify root causes in operational data
- Clear communication skills—able to explain technical findings to non-technical audiences
- Comfort with ambiguity and ability to structure open-ended analytical problems
- Experience in tax operations, financial services, or regulated operational environments
- Familiarity with statistical analysis and experimentation frameworks
- Experience with Python or R for data analysis
- Background working closely with operations or product teams to improve processes
- Demonstrated ability to leverage AI and automation to transform data in actionable insights
Qualifications
Must Haves
- 3+ years of experience in operations analytics, business intelligence, or data analysis
- Strong SQL skills and experience working with large operational datasets
- Experience building dashboards and reporting tools (e.g., Tableau, Looker, or similar)
- Demonstrated ability to conduct investigations and identify root causes in operational data
- Clear communication skills—able to explain technical findings to non-technical audiences
- Comfort with ambiguity and ability to structure open-ended analytical problems
Nice to Haves
- Experience in tax operations, financial services, or regulated operational environments
- Familiarity with statistical analysis and experimentation frameworks
- Experience with Python or R for data analysis
- Background working closely with operations or product teams to improve processes
- Demonstrated ability to leverage AI and automation to transform data in actionable insights
