Build credit into your product experience. Run it end to end with modular APIs, pre-built components, analytics, and full-service infrastructure. Backed by Pear VC.
About the role
Analyze operational, product, and financial data to identify trends, diagnose issues, and surface actionable insights Build dashboards, reporting frameworks, and monitoring tools that improve visibility into system and business performance
What they're looking for
- 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
More about this role
Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the insights, processes, and decisions behind our co-branded credit card platform. In this role, you’ll work across domains including applications, accounts, transactions, fraud, risk, rewards, and partner operations to support high-impact initiatives and ensure the reliability, accuracy, and efficiency of our core systems and business workflows.
As an analyst at Cardless, you’ll dive deep into data, identify opportunities, streamline operational processes, and collaborate closely with cross-functional teams to deliver insights and durable improvements to our platform.
Analyze operational, product, and financial data to identify trends, diagnose issues, and surface actionable insights
Build dashboards, reporting frameworks, and monitoring tools that improve visibility into system and business performance
Partner with product managers, engineers, and risk/compliance teams to support the design of new features, workflows, and policies
Evaluate and optimize business processes across the customer lifecycle (applications, onboarding, transactions, servicing, fraud, and rewards)
Perform...
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