Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Insurance Data Lead role.
Rezi rewrites your resume against DoorDash USA's job description. Free.

Tailor your resume to this Senior Insurance Data Lead role.
Rezi rewrites your resume against DoorDash USA's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Insurance Data Lead posting at DoorDash USA — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Senior Insurance Data Lead posting at DoorDash USA — free, in seconds.
About the Role
We are looking for a passionate Senior Insurance Data Lead to join DoorDash’s Corporate Risk & Insurance function within the Finance & Strategy team. This role offers a unique opportunity to enhance our data capabilities, provide data-driven insights for insurance risk management decisions, and advise on operational strategy and insurance program structuring. You will report to the Manager, Insurance Data.
Responsibilities
- Lead the development and maintenance of key insurance metrics that drive business decisions on DoorDash’s insurance strategies.
- Own and develop insurance data infrastructure to support the increasing demand for insurance analytics by creating data pipelines and data models with high data quality.
- Design and report insurance and claim-related analytics to help optimize insurance operation strategies.
- Collaborate closely with senior team members to define and report monthly performance metrics and make suggestions on risk mitigation strategies.
- Partner with cross-functional teams to ensure seamless task execution within established timelines.
Requirements
- 4-7 years of experience in business intelligence, data analytics, insurance analytics, financial analytics, or a related analytical role.
- Strong SQL skills and Python experience for data extraction, transformation, validation, and automation.
- Experience building reports, dashboards, reconciliations.
- Familiarity with using cursor is a plus.
- Experience working with large, multi-source datasets and translating business requirements into clear data logic and reporting.
- Familiarity with ETL processes, data models, data-quality checks, and documentation practices.
- Working knowledge of Property & Casualty insurance is preferred.
- Actuarial, insurance operations, carrier reporting, claims, billing, or exposure-data experience is a plus.
- Experience in a gig, delivery, mobility, marketplace, or sharing-economy business is a plus.
Skills
- SQL
- Python
- ETL processes
- Data models
- Data quality checks
- Reporting
- Dashboards
- Reconciliations
Location
- Remote (US-based)
- Hub office locations
Work Type
- Remote
- Full-time
Experience Level
- Senior
Education Level
- Bachelor’s degree in analytics, data science, finance, economics, business, or a related field.
Salary/Compensations
- $118,300—$174,000 USD
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 benefits
- Dental benefits
- Vision benefits
- 11 paid holidays
- Disability insurance
- Basic life insurance
- Family-forming assistance
- Mental health program
- Flexible paid time off/vacation (for salaried roles)
- 80 hours of paid sick time per year (for salaried roles)
About the Company
- At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers.
- We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
- DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers.
- We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Equal Opportunity
- We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives.
- We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
- Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status.
- Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office.
- Whether blatant or hidden, barriers to success have no place at DoorDash.
- We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply.
- Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
- If you need any accommodations, please inform your recruiting contact upon initial connection.