• Automated collection of analytical data from heterogeneous sources and their display on centralized BI dashboards • Regular analysis of the main product metrics for outliers and negative trends • Organization of A/B tests, validation of the quality of their conduct, and calculation of results • Analytical support for the generation of product hypotheses • Analysis of raw data arrays to identify growth points, or implicit dependencies of metrics

• Design, launch, and analyze A/B tests. • Build and maintain product dashboards (the foundation is ready, but it requires optimization and process improvement). • Analyze key product and marketing metrics (CR, ROI, LTV, Retention). • Develop and improve the product analytics infrastructure. • Explore user behavior and generate growth hypotheses. • Support decisions aimed at improving engagement, retention, and monetization. • Collaborate with marketing on traffic quality and unit economics.

Role Description At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: - Great Company - Great Careers - Great Culture - Great Rewards Annual Salary: $52,275.00 - $88,150.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/annual salary to be offered to the selected candidate. Factors include, but are not limited to: - The scope and responsibilities of the role - The selected candidate’s work experience - Education and training - The work location - Market and business considerations GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. Qualifications - Ability to learn and grow through personalized development programs - Access to industry-leading training and certification assistance - Career mentorship and coaching with supportive leaders Requirements - Ability to work collaboratively with dynamic teams - Commitment to performance excellence - Willingness to embrace an inclusive culture of shared success Benefits - Comprehensive Total Rewards program tailored for you and your family - Market-competitive compensation - 401K savings plan vested from day one with a 6% match - Performance and recognition-based incentives - Tuition assistance - Mental healthcare, fertility, and adoption assistance - Workplace flexibility and GEICO Flex program (work from anywhere in the US for up to four weeks per year)

Role Description We are looking for a BI Analyst to oversee day-to-day visualizations, data validation, and stakeholder reporting. This person ensures leadership has fast, accurate insights from our data warehouse without bottlenecks. - Build and maintain product analytics dashboards and reporting across key user journeys (onboarding, activation, conversion, retention) - Analyze event-level data to understand user behavior across Biomarkers and RX product lines - Define, QA, and monitor event tracking in partnership with engineering (via tools like Mixpanel / Amplitude) - Translate raw event data into clean, analytics-ready datasets in Snowflake - Build and maintain product funnels, cohort analyses, and retention reporting - Identify drop-offs, friction points, and opportunities across the user lifecycle - Surface actionable insights on product performance, engagement, and conversion drivers - Work directly with Product, Growth, and Data teams to align on metrics definitions and tracking standards - Support A/B testing and product experimentation by measuring feature impact - Build clean, self-service dashboards (in Sigma or similar tools like Tableau, Looker, Power BI) - Document event definitions, data sources, and logic to ensure consistency as data models evolve Qualifications - 3–5 years hands-on SQL experience working with large, event-level datasets - Strong experience with product analytics tools such as Mixpanel and/or Amplitude - Experience analyzing product funnels, user cohorts, and retention metrics - Comfortable working with event schemas (event names, user properties, timestamps, sessionization) - Experience with Snowflake, BigQuery, or similar cloud data warehouse - Capable of validating event data across tools (e.g., product analytics platform vs warehouse) - Strong understanding of product KPIs (conversion rates, retention, engagement, churn) - Experience building dashboards in Sigma or similar BI tools - Strong attention to detail in data quality, tracking accuracy, and metric definitions Preferred Skills - Experience with Segment or similar CDP for event tracking pipelines - Familiarity with dbt (not required to build models; just to read/test) - Experience working with subscription products or health-tech data (e.g., testing platforms, prescription flows) - Understanding of experimentation frameworks and A/B testing methodologies - Basic familiarity with GitHub or version control for analytics workflows Salary Range $90-130k + equity + benefits