StripeOperations Insights, Tax
Stripe is hiring an Operations Insights, Tax for a remote role open to applicants in United States. Level rates it ; you can apply on Stripe.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions SQL, BI Tools and data analysis among its tools and skills.
- Level classes it as a mid-level role.
- Stripe has 718 other open roles on Level.
AI in this role
Analyze operational performance, build reporting infrastructure, and drive continuous improvement for Stripe's tax operations.
Who we are
About Stripe
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. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
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. Our work enables the tax operations organization to scale with stability and confidence.
What you’ll do
We're looking for an Operations Insights analyst to help us understand and improve how our Tax operations scale and deliver. 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
- 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
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. The preferred qualifications are a bonus, not a requirement.
- 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
- 3+ years of full time experience in operations analytics, business intelligence, or data analysis
- Advanced SQL skills, including complex query optimization and data modeling
- 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 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
How we rate this
Operations Insights, Tax at Stripe rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where operational insights was part of your work. What did you do?
- Tell me about a project where metrics definition was part of your work. What did you do?
- Tell me about a project where dashboarding was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analysis, Operational Insights, Metrics Definition, Dashboarding, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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