Senior Data Analyst, Risk

Turo•San Francisco, CA

2d•$146,000 - $182,000•Hybrid

About The Position

Turo is hiring a Senior Data Analyst to join its Analytics team in San Francisco and partner directly with the Risk team. The role uses rigorous analysis and commercial judgment to evaluate risk and revenue trade-offs, inform pricing and policy decisions, and help protect Turo’s hosts, guests, and business while supporting profitable growth. The analyst will lead important Risk business analyses from hypothesis through recommendation; partner with Product and Risk on A/B tests; model the effects of protection-plan, fee, and risk-policy changes; and monitor performance across fraud, chargebacks, bad debt, and claims costs. The role also partners with Engineering, Data Science, Product, and other cross-functional groups to define data requirements and build scalable reporting pipelines and dashboards. It translates technical findings into clear recommendations for leadership and aligns teams on risk and profitability measurement. The position follows Turo’s hybrid schedule, with required office attendance in San Francisco on Mondays, Wednesdays, and Thursdays. The target base salary range is $146,000–$182,000 annually, and the role 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 costs and losses and translate trade-offs into business action.
Strong SQL skills and experience building clear, functional dashboards in BI tools.
Ability to connect analytical findings to business decisions and risk strategy.
Ability to take end-to-end ownership of projects, work independently, and follow through to business action.
Ability to explain complex data, methodologies, and trade-offs clearly to cross-functional partners and leadership.
Hands-on experience using AI tools to accelerate coding, automate analysis, and improve efficiency.

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 high-impact analyses of Risk team business questions, developing hypotheses, examining complex data, and delivering actionable recommendations.
Partner with Product and Risk teams to design, run, and analyze A/B tests measuring the effects of pricing, policy, and product changes on revenue, conversion, and losses.
Build models to estimate the impact of changes to protection plans, fees, and risk policies, quantifying growth, revenue, and cost trade-offs.
Own and monitor risk metrics across fraud, chargebacks, bad debt, and claims costs; investigate anomalies and recommend next steps.
Partner with Engineering, Data Science, and Product to define data requirements and build pipelines and dashboards for scalable risk reporting.
Communicate technical analysis and recommendations to leadership and collaborate with Risk, Trust and Safety, Payments, Finance, and Operations to align on risk and profitability measurement.

Benefits

Equity and benefits; competitive salary and perks for full-time employees.
Employer-paid medical, dental, and vision insurance (country specific).
Retirement employer match.
Learning and Development stipend for professional development.
Turo host matching program.
Turo travel credit.
Cell phone and internet stipend.
Paid time off.
Paid holidays, volunteer time off, and parental leave.
For employees working in-office full-time or hybrid: in-office lunch, office snacks, and activities.