Stripe is hiring a Operations Insights, Tax in 5902 Tax Autofile — US Remote. The overview below is synthesized from the employer posting on stripe.com: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
Who we are
About Stripe
Company context from the listing:
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.
About the team
Company context from the listing:
The Operations Performance & Enablement Team supports the TaxJar product and broader Tax Operations teams by using data to drive better decisions and continuous improvement. We make performance visible, decisions deliberate, and improvement repeatable—acting as a force multiplier by uncovering insights early, translating signals into action, and building systems that ensure one-time fixes become repeatable capabilities.
What you’ll do
Day-to-day scope for the Operations Insights, Tax as described in the posting:
The listing frames the Operations Insights, Tax at Stripe as a hands-on product role. In this role, you'll investigate operational performance, analyze data to uncover meaningful patterns, and build reporting infrastructure that enables teams to make better decisions. You'll work at the intersection of data analysis, operations, and product insights—translating complex operational data into clear insights that drive action.
This role is ideal for someone who excels at digging into robust operational data, asking "why" repeatedly, and building systems that help others find answers independently.
Responsibilities
Day-to-day scope for the Operations Insights, Tax as described in the posting:
- 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
Who you are
Experience and skills the team lists as required:
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply.
- Curious investigator: You naturally ask "why" and don't stop until you understand what's really happening
- Systems thinker: You see how operational pieces connect and look for leverage points for improvement
- Builder mindset: You don't just answer questions — you build infrastructure so teams can answer their own
- Clear communicator: You translate complex analysis into insights that drive decisions
- Collaborative partner: You work effectively with varied operations teams, product, engineering, and leadership
Minimum requirements
Experience and skills the team lists as required:
- 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
Preferred qualifications
Experience and skills the team lists as required:
- 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