Senior Data Analyst, Risk

Turo•San Francisco, CA
•Hybrid

About The Position

Turo is seeking a Senior Data Analyst to join its Analytics team in San Francisco and partner directly with the Risk team. The role uses data, analysis, and models to support profitable growth while keeping Turo’s marketplace safe. The analyst evaluates risk and revenue trade-offs, informs pricing and policy decisions, and helps protect hosts, guests, and the business. The analyst will lead high-impact analysis, design and assess experiments, model the effects of pricing and policy changes, monitor risk and loss performance, and help develop scalable risk data infrastructure. They will communicate findings and recommendations to leadership and collaborate with teams across Risk, Trust and Safety, Payments, Finance, Operations, Product, Engineering, and Data Science. The role follows Turo’s hybrid in-office schedule: employees are required to work in the office three days per week on Mondays, Wednesdays, and Thursdays. The position offers a target base salary range of $146,000–$182,000 annually in San Francisco and is eligible for equity and benefits.

Requirements

  • At least 4 years of experience in product, data, or risk analytics.
  • Hands-on experience designing, running, and analyzing A/B tests.
  • Experience building pricing, revenue, or cost models to estimate the business impact of changes.
  • Demonstrated ability to weigh revenue against cost and losses and translate trade-offs into business action.
  • Strong SQL skills and experience building clear, functional dashboards in business intelligence tools.
  • Ability to connect analytical findings to business decisions and risk strategy.
  • Ability to take end-to-end accountability, move projects forward independently, and follow through until the business acts on recommendations.
  • Ability to clearly explain complex data, methodologies, and trade-offs to cross-functional partners and leadership.
  • Hands-on experience using AI tools to accelerate coding, automate analysis, and work more efficiently.

Nice To Haves

  • Experience in technology, fintech, insurance, or a two-sided marketplace.
  • Experience analyzing fraud, chargebacks, claims, bad debt, or trust and safety.
  • Python for data analysis.

Responsibilities

  • Lead the Risk team’s important business analyses from initial hypothesis through concrete recommendations.
  • Analyze complex data, identify key drivers, and present clear findings that guide business decisions.
  • Partner with Product and Risk teams to design, run, and analyze A/B tests.
  • Measure the effects of pricing, policy, and product changes on revenue, conversion, and losses, and help prioritize a testing roadmap.
  • Build models to estimate the impact of changes to protection plans, fees, and risk policies before launch.
  • Quantify growth, revenue, and cost trade-offs to inform leadership decisions.
  • Own key risk metrics across fraud, chargebacks, bad debt, and claims costs; investigate changes and anomalies and recommend next steps.
  • Partner with Engineering, Data Science, and Product to define data requirements and build scalable risk reporting pipelines and dashboards.
  • Translate technical analysis into clear recommendations for leadership.
  • Coordinate with Risk, Trust and Safety, Payments, Finance, and Operations to align on measuring risk and profitability.

Benefits

  • Equity
  • Employer-paid medical insurance (country-specific)
  • Employer-paid dental insurance (country-specific)
  • Employer-paid vision insurance (country-specific)
  • Retirement employer match
  • Learning and Development stipend
  • Turo host matching program
  • Turo travel credit
  • Cell phone and internet stipend
  • Paid time off
  • Paid holidays
  • Volunteer time off
  • Parental leave
  • In-office lunch, snacks, and activities for employees working in-office or hybrid
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