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