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# Data Analyst

- **Company:** CARDLESS, INC.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Big Data, Data Integrity, Monitoring of Systems, Python (Programming Language), Software Tools, Data Driven Tests, SQL Databases, Tableau (Software), Prompt Engineering, Model Validation, Tools for Reporting, Looker Analytics
- **Published:** May 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=74a802fe8c56a9f6

## About the Role

Do you have experience in Tooling?, * 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

Nice to have

 * 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

## Description

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 deep-dive investigations into anomalies, system issues, or partner escalations; help determine root causes and drive remediation
 * Support forecasting, business reviews, and strategic planning with clear, data-driven analysis
 * Contribute to improving data quality, documentation, and analytical rigor across the organization
 * For senior candidates: provide guidance to teammates, lead medium-sized cross-functional projects, and influence strategic decisions


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