
1001 - 5000 employees
Founded 2015
πΈ Finance
π₯ B2C
π° $200M Post IPO debt on 2024-11
Finance β’ B2C
Root Inc. is an auto insurance company that uses a mobile app and smartphone sensor telematics to measure driving behavior and price policies primarily based on how safely customers drive. The company offers a "test drive" period to gather driving data, provides in-app quotes, policy management, and claims filing, and sells roadside assistance and other coverages across many U. S. states. Root targets consumer drivers (B2C) seeking usage-based insurance and emphasizes savings for safer drivers.
π₯ 0 minutes ago
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1001 - 5000 employees
Founded 2015
πΈ Finance
π₯ B2C
π° $200M Post IPO debt on 2024-11
Finance β’ B2C
Root Inc. is an auto insurance company that uses a mobile app and smartphone sensor telematics to measure driving behavior and price policies primarily based on how safely customers drive. The company offers a "test drive" period to gather driving data, provides in-app quotes, policy management, and claims filing, and sells roadside assistance and other coverages across many U. S. states. Root targets consumer drivers (B2C) seeking usage-based insurance and emphasizes savings for safer drivers.
β’ Design and maintain scalable dashboards and performance reporting to measure partner health, funnel performance, and portfolio economics and drive action. β’ Support analytical workstreams for partner diligence, onboarding, and optimization β including forecasting and ROI modeling. β’ Build frameworks to evaluate partner economics versus expectations. β’ Partner with Product, Business Development, and Marketing to evaluate new opportunities, test hypotheses, and guide investment decisions. β’ Design and execute experiments (A/B or quasi-experimental) to assess and improve partner conversion funnels. β’ Collaborate with data engineering to enhance data pipelines and ensure accurate, reliable partner reporting. β’ Translate technical insights into clear, actionable recommendations for stakeholders.
β’ 3β5 years of experience in analytics, decision science, or data strategy β’ Strong SQL skills and proficiency with BI tools (Tableau, Mode, Power BI) β’ Experience with statistical analysis, experimentation design, and AI-enabled tools preferred β’ Proven ability to structure ambiguous business questions into analytical frameworks β’ Excellent written and verbal communication β able to translate complex findings into actionable insights β’ Detail-oriented with strong documentation and data hygiene habits β’ High ownership mindset and comfort operating in fast-paced, evolving environments.
β’ Bonus & LTI eligible β’ Flexible work arrangements
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