Operations Insights, Tax
Stripe · US Remote
Pay
Not listed
Setting
Remote
Who we areAbout StripeStripe 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 teamThe 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 doWe'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.ResponsibilitiesInvestigate 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 workflowsPartner with operations teams: Work directly with operational teams to analyze workflows, understand user behavior, and translate findings into actionable recommendationsImprove measurement rigor: Refine metric definitions, ensure data reliability, and strengthen how we measure operational performance across the organizationSupport experiments and improvements: Apply statistical analysis to evaluate the impact of operational changes and experimentsEnable 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 requestsCommunicate insights to leadership: Prepare clear, compelling operational insights for leadership reviews and strategic planning discussionsWho you areWe’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 happeningSystems thinker: You see how operational pieces connect and look for leverage points for improvementBuilder mindset: You don't just answer questions — you build infrastructure so teams can answer their ownClear communicator: You translate complex analysis into insights that drive decisionsCollaborative partner: You work effectively with varied operations teams, product, engineering, and leadershipMinimum requirements3+ years of experience in operations analytics, business intelligence, or data analysisStrong SQL skills and experience working with large operational datasetsExperience building dashboards and reporting tools (e.g., Tableau, Looker, or similar)Demonstrated ability to conduct investigations and identify root causes in operational dataClear communication skills—able to explain technical findings to non-technical audiencesComfort with ambiguity and ability to structure open-ended analytical problemsPreferred qualificationsExperience in tax operations, financial services, or regulated operational environmentsFamiliarity with statistical analysis and experimentation frameworksExperience with Python or R for data analysisBackground working closely with operations or product teams to improve processesDemonstrated ability to leverage AI and automation to transform data in actionable insights
Listed by Stripe for a position based in the United States. Employers on this board attest they are hiring domestically.