Cardless
Data Analyst
San Francisco · Mid
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$12,438 more — $142,438 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $142,438 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the 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.
Responsibilities
- 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
- For senior candidates: provide guidance to teammates, lead medium-sized cross-functional projects, and influence strategic decisions
- Demonstrated ability to integrate AI into day-to-day work (prompt design, model evaluation, data prep, or workflow optimization)
- Perform deep-dive investigations into anomalies, system issues, or partner escalations; help determine root causes and drive remediation
- ✈️ Team building events & happy hours
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)
- Track record of collaborating effectively with product, engineering, or operations teams
Nice to have
- 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.
Compensation
- This role has an annual starting salary range of $130,000-$200,000 + equity + benefits (see above).
Benefits
- 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
- 🚎 $250/month Commuter benefit
- 👶 Parental leave
- 🌴 Flexible PTO with a minimum of 15 days off per year
Company info
- We're looking for kind, humble people with high standards and low egos.
- We're looking for someone who's genuinely excited to be there alongside the team.
This listing is sourced directly from Cardless's careers page and normalized into a canonical job model.