Build dashboards and data sources that enable self-serve – clear, trusted views that drive operating cadence and day-to-day decisions.
Insights discovery – you’ll establish a rhythm that consistently surfaces what matters to the people who need it most.
Own metric quality with stakeholders – you’ll partner with Product and Engineering to ensure we can answer the most important questions and ensure reliability.

Requirements

5–8+ years of experience in data analytics, business analytics, data science, product analytics, consulting, or related roles.
A structured approach to problem solving and the ability to turn fuzzy questions into crisp analysis and clear actions.
A strong bias for action and comfort owning end-to-end analyses, from problem framing to data pulls, insights, recommendations, and follow-through.
Excellent communication skills and experience acting as a cross-functional thought partner to both technical and non-technical audiences
Advanced SQL skills, including comfort with complex joins, edge cases, and messy schemas
Advanced experience with BI tools (Looker, Mode, Tableau, Omni, Hex, or similar) and designing dashboards for self-serve analytics.
Bonus attributes: Experience in fintech, payments, card programs, or financial infrastructure.
Python proficiency for analysis/automation (pandas, notebooks, lightweight pipelines).
Strong spreadsheet skills; comfort building and QA’ing metric logic.
Experience using LLM tools to accelerate analysis (e.g., classification of tickets, summarization, automated insight generation).
Familiarity with modern data stack concepts (dbt, dimensional modeling, metrics layers) even if you’re not the primary owner).

Benefits

Unlimited time off
Flexible working
Easy to access benefits
Retirement goals
Equity plan
Rain Cards
Health and Wellness
Team summits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data analyticsbusiness analyticsdata scienceproduct analyticsadvanced SQLPythonBI toolsspreadsheet skillsLLM toolsmodern data stack

Soft skills

problem solvingcommunication skillscross-functional collaborationbias for actionanalytical thinkingstakeholder managementinsight generationstructured approachownershiprecommendation development