Doordashusa
Senior Insurance Data Lead
San Francisco, CA. Posted a month ago
The role
You will improve data capabilities and seek data-driven insights to inform insurance risk management decisions. This includes leading the development of insurance metrics and owning insurance data infrastructure.
What you will do
- Lead the development and maintenance of key insurance metrics
- Own and develop insurance data infrastructure
- Create data pipelines and data models
- Design and report insurance and claim-related analytics
- Collaborate with senior team members to define and report monthly performance metrics
- Make suggestions on risk mitigation strategies
- Partner with cross-functional teams to ensure task execution
Required qualifications
- 4-7 years of experience in business intelligence, data analytics, insurance analytics, financial analytics, or a related analytical role
- Strong SQL skills
- Python experience for data extraction, transformation, validation, and automation
- Experience working with large, multi-source datasets
- Experience translating business requirements into clear data logic and reporting
- Familiarity with ETL processes, data models, data-quality checks, and documentation practices
- Bachelor’s degree in analytics, data science, finance, economics, business, or a related field
Nice to have
- Familiarity with using cursor
- Working knowledge of Property & Casualty insurance
- Actuarial, insurance operations, carrier reporting, claims, billing, or exposure-data experience
- Experience in a gig, delivery, mobility, marketplace, or sharing-economy business
Benefits
- 401(k) plan with employer matching
- 16 weeks of paid parental leave
- Wellness benefits
- Commuter benefits match
- Paid time off
- Paid sick leave
- Medical, dental, and vision benefits
- 11 paid holidays
- Disability and basic life insurance
- Family-forming assistance
- Mental health program
About the company
DoorDash is a technology and logistics company that started by enabling door-to-door delivery. Its mission is to empower local economies.