Cardless
Data Analyst
San Francisco
Get past the screening software and onto a recruiter's desk
hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.
- Keywords matched to this posting
- Fit score before you apply
- Cover letter included
Matched against 2.4M live jobs from 200,000+ employers in 200+ countries.
Tailor my resume for this job →Apply from your AI assistant
Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.
Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.
hirly's read of this role
- Seniority
- Mid level
- Stated salary
- $130,000 – $200,000 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 2 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
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.
Responsibilities
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
Requirements
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
Why Cardless
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.
Benefits
We're headquartered in San Francisco, CA, with a beautiful office in the Mission District. We're proud to offer our team excellent benefits:
💸 Meaningful Start-up equity
🏥 100% health, vision & dental primary coverage
➕ 75% health, vision & dental dependent coverage
🍱 Catered lunches
🚎 $250/month Commuter benefit
👶 Parental leave
✈️ Team building events & happy hours
🌴 Flexible PTO with a minimum of 15 days off per year
🖥️ Apple equipment
💸 401k plan
Location
We're headquartered in San Francisco, CA, with a beautiful office in Jackson Square. We welcome employees who want to work from this office; we offer additional benefits to those who do, and relocation assistance to those who'd like to.
We regularly bring our team together for offsites & trips, about every 2 months, both for fun and for work. We cover all travel & lodging in these cases.
Similar jobs
- Data Analyst II - Enterprise SolutionsGM Financial United States · Fort Worth, TX, United StatesFirst seen today
- Data Analyst 3The Church of Jesus Christ of Latter day Saints · Salt Lake City, UT, United StatesFirst seen today
- Data Analyst and Visualization SpecialistDevtechsys · Washington, District of ColumbiaFirst seen today
- Data Analyst - Guest & Household InsightsTarget · 1000 Nicollet Mall, Minneapolis,MN 55403-2542First seen today
- Financial Operational Data AnalystSwbc · San Antonio, TXFirst seen today
Browse similar roles
Want this one?
Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.
Tailor my resume for this job