Bryan Johnson - State Farm Insurance Agent

Bryan Johnson - State Farm Insurance Agent

State Farm is a well-established insurance company founded in 1922, with a commitment to fairness and customer service. They offer a wide range of financial products and services to help customers manage their present and plan for the future.

Diversified Financial Services
Founded 1922

Description

  • Build and maintain product analytics dashboards and reporting across key user journeys, including onboarding, activation, conversion, and 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 using tools such as Mixpanel and 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.
  • Document event definitions, data sources, and logic to ensure consistency as data models evolve.

Requirements

  • 3–5 years of 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, including event names, user properties, timestamps, and sessionization.
  • Experience with Snowflake, BigQuery, or a similar cloud data warehouse.
  • Ability to validate event data across tools, such as comparing a product analytics platform with a warehouse.
  • Strong understanding of product KPIs, including conversion rates, retention, engagement, and churn.
  • Experience building dashboards in Sigma or similar BI tools.
  • Strong attention to detail in data quality, tracking accuracy, and metric definitions.
  • Experience with Segment or a similar CDP for event tracking pipelines, preferred.
  • Familiarity with dbt, preferred.
  • Experience working with subscription products or health-tech data, such as testing platforms or prescription flows, preferred.
  • Understanding of experimentation frameworks and A/B testing methodologies, preferred.
  • Basic familiarity with GitHub or version control for analytics workflows, preferred.

Benefits

  • Salary range of $90k–$130k.
  • Equity package.
  • Benefits included.

Interested in this position?

Apply directly on the company website

Apply Now

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