Data Analyst
Location: San Francisco, CaAbout SapiomAI agents are beginning to act on behalf of companies and users — making purchases, spinning up compute, triggering workflows, and interacting with third-party systems. But today's financial infrastructure was built for humans, not autonomous systems. Companies and developers need a way to give agents controlled access, meter actions, monetize usage, and transact across rails, without rebuilding payments, risk, and compliance internally.Sapiom builds the financial payments infrastructure for the machine economy - autonomous spend rails that enable AI agents to transact with real-world services safely, processing every dollar spent, every policy decision navigated, and every risk signal generated.We have assembled a world-class team with deep payments and infrastructure DNA to build the operating system for machines. Backed by a $15.75M investment from Accel, Menlo, and Anthropic, we are moving with relentless focus to deploy the economic substrate for autonomous agents."About The RoleA high-ownership, high-visibility role where you'll build the company's operating visibility from the ground up. The right fit for someone who thrives in ambiguity, loves working with messy data, and wants their work to directly shape how a fast-moving technical team makes decisions.What You Will DoOwn the metrics and reporting infrastructure that keeps the business informed — defining and maintaining core KPIs, building dashboards, and pulling together data across systems to make it usable and trustworthy. You'll analyze trends, surface issues early, and partner directly with leadership to answer high-priority questions, translating ambiguous asks into structured analysis and communicating findings clearly to both technical and non-technical stakeholders.ResponsibilitiesOwn core business and product metrics and define KPI reporting across the companyBuild dashboards and reporting frameworks that give the team clear visibility into performancePull together data across systems and make it usable, trustworthy, and easy to interpretAnalyze trends, identify issues, and surface actionable insightsPartner closely with leadership to answer high-priority business questionsRequirementsExperience in business analytics, product analytics, data analysis, or a similar roleStrong SQL skills and Python proficiencyExperience building dashboards and reporting frameworksStrong analytical thinking with comfort working in messy or incomplete data environmentsAbility to translate ambiguous questions into structured analysisClear communicator who can explain findings to both technical and non-technical stakeholdersPerks and BenefitsHealth Insurance100% employer-paid Gold plan (individual); 75% for dependentsVision and dental fully coveredFSA/HSA available, administered through RipplingWellness & Life$1,500 annual wellness stipend (therapy, coaching, fitness, etc.)Full Superpower membership for advanced health/biomarker analysisUp to $5,000 interim fertility/family-building coverage; full program (Time OffFlexible PTO with a 15-day minimumPaid parental leaveUp to 4 "Work From Anywhere" weeks per yearStandard holidays, plus a company recharge from Christmas through New Year'sOperational PerksMacBook + equipment of your choice$500 one-time home office stipendUp to $200/month parking or commute reimbursementDaily lunch on in-office daysAfter-hours rideshare coverage