Senior Manager – Data Analytics
Job Description:
- Create trusted measures by defining grain, denominators, cohorts, attribution windows, refresh expectations, and ownership
- Keep early signals separate from mature financial and loss outcomes
- Establish baselines and use comparison groups, experiments, or causal methods to measure impact credibly
- Surface and document missing, stale, contradictory, or biased evidence, assumptions, and limitations
- Lead a business-facing analytics team
- Set clear ownership and coach analytical and communication skills
- Establish peer review and develop analysts who can turn ambiguous questions into adopted products
- Ensure priority outputs identify evidence, responsible owner, next action, due date, and outcome-capture method
- Partner with Data Engineering on source quality, curated datasets, semantic models, and service expectations
- Own metric logic, interpretation, and analytical acceptance
Requirements:
- Strong knowledge of Python
- Strong knowledge of mathematical modeling
- Must already be authorized to work in the United States; GEICO will not sponsor a new applicant for employment authorization
Benefits:
- Personalized development programs
- Mentorship
- Certification assistance
- Inclusive and collaborative culture
- Competitive pay
- Benefits
- Flexibility to support your well-being and future
- Reasonable accommodations for qualified individuals with disabilities