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Data Analyst

San Francisco, CA, United States

Pay
$130,000–200,000Pay period needs review — pay source
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
Read the full posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Cardless

What you’ll work on

Full posting
  • 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

From the employer’s posting
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
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
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)

What you’ll bring

All qualifications

Core experience

  • 3–7 years of experience in an analytical, operations, strategy, or data-focused role
  • Experience building or deploying internal AI tools, automations, or agents to improve productivity or business operations
  • Strong proficiency with data analysis tools (SQL, Excel/Sheets, Python)
  • Familiarity with financial systems, reconciliation workflows, or data integrity challenges
  • Experience using AI tools in a professional setting (e.g., for workflows, analysis, automation, or insight generation)
  • Experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle analytics
Qualification wording
3–7 years of experience in an analytical, operations, strategy, or data-focused role
Experience building or deploying internal AI tools, automations, or agents to improve productivity or business operations
Strong proficiency with data analysis tools (SQL, Excel/Sheets, Python)
Familiarity with financial systems, reconciliation workflows, or data integrity challenges
Experience using AI tools in a professional setting (e.g., for workflows, analysis, automation, or insight generation)
Experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle analytics

Tools in this posting

  • SQL
  • Looker
  • Tableau
  • Python
  • Excel
Source — Tool mentions in context
- 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

Benefits in the posting

Full benefits wording
  • 🏥 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
  • 💸 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.

From the employer’s posting.

Job description

View original 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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.

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Source & posting history

View original posting ↗

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Pay
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
Location & working pattern

San Francisco, CA, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization

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Status in our records
Active
First seen by us
Jun 2, 2026
Recorded sightings
72
Last seen by us
Oct 9, 2026
Employer says posted
Apr 27, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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