Data Analyst at Cardless · Lumi · Lumi

Qualification

Ability to manage multiple prioritiesCuriosityBonusFamiliarity with financial systemsExperience in fintechYou’ll join a collaborative

3–7 years of experience in an analytical, operations, strategy, or data-focused role
Strong proficiency with data analysis tools (SQL, Excel/Sheets, Python)
Experience using AI tools in a professional setting (e.g., for workflows, analysis, automation, or insight generation)
Demonstrated ability to integrate AI into day-to-day work (prompt design, model evaluation, data prep, or workflow optimization)
Experience working with large datasets and building reliable reporting/dashboarding (Looker, Tableau, Omni, Mode, or similar)
Solid understanding of business processes, KPIs, and analytical frameworks; able to independently break down ambiguous problems
Excellent communication skills — able to translate complex analysis into clear insights for technical and non-technical partners
Track record of collaborating effectively with product, engineering, or operations teams
Ability to manage multiple priorities, take ownership, and drive projects end-to-end
Curiosity, attention to detail, and a passion for building well-structured analytical systems and business processes
Bonus: experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle analytics

Experience building or deploying internal AI tools, automations, or agents to improve productivity or business operations
Familiarity with financial systems, reconciliation workflows, or data integrity challenges
Experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle analytics
You’ll join a collaborative, fast-moving team that values craftsmanship, curiosity, and impact. We’re building products that enable leading brands to offer credit in new ways — and we’re just getting started.
This role has an annual starting salary range of $130,000-$200,000 + equity + benefits (see above). Actual compensation is influenced by a wide array of factors including but not limited to skills, experience, and specific work location.

Data Analyst