Staff Analyst

🔥 12 minutes ago

🇺🇸 United States – Remote

💵 $143.8k - $179.7k / year

⏰ Full Time

🔴 Lead

🧐 Analyst

👻 Ghost score 0%

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Root Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

🚘 Automotive

💼 Consulting

🛡️ Insurance

💰 $200M Post IPO debt on 2024-11

Automotive • Consulting • Insurance

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.

📋 Description

• Own analytics for the Customer Experience domain • Develop metrics, analytical frameworks, monitoring, and business understanding for the customer journey across onboarding, policy servicing, billing, payments, cancellations, and other critical interactions • Serve as Root’s analytical Subject Matter Expert for policyholder retention • Maintain a holistic view of retention performance, identify material drivers and emerging risks, quantify opportunities, and coordinate analytical work across Customer Experience and adjacent teams • Interact with Senior and Executive leadership as the retention Subject Matter Expert • Define and prioritize the domain analytics roadmap • Identify high-value problems and opportunities, anticipate future analytical needs, and translate priorities into an actionable roadmap • Shape strategy through rigorous decision making, including framing ambiguous problems, evaluating strategic options, building impact estimates and scenario analyses, and recommending paths forward • Establish experimentation and measurement systems for customer-facing initiatives • Partner with Product and Engineering from ideation through launch to define hypotheses, success metrics, guardrails, instrumentation, and experimental or observational designs • Use post-launch evidence to recommend whether strategies should be scaled, modified, or stopped • Lead recurring business reviews and strategic readouts • Communicate emerging trends and risks, resolve analytical ambiguity, and influence tradeoffs across Product, Engineering, Data Science, Operations, and other stakeholders • Partner with Product to evaluate external vendors and partnerships • Build reusable tools, frameworks, and analytical standards that improve decision quality • Introduce new methods where they materially improve rigor and communicate complex findings clearly to technical partners and senior and executive leaders

🎯 Requirements

• 7+ years of experience in Analytics, Decision Science, Product Analytics, Data Science, or a similarly quantitative discipline, or equivalent demonstrated experience operating at comparable scope • Track record of owning analytics for a meaningful business or product domain, including independently identifying opportunities, framing ambiguous problems, shaping priorities, and influencing roadmap decisions • Advanced SQL skills • Deep experience working with large, complex datasets and business intelligence or visualization tools such as Tableau, Mode, Power BI, or similar platforms • Proficiency with Python, R, or another analytical programming language for statistical analysis, modeling, automation, or advanced analytical workflows • Deep expertise in experimental design, causal inference, and applied statistical reasoning • Strong business acumen and ability to evaluate strategic options, quantify expected impact, make recommendations under uncertainty, and refine recommendations as new evidence becomes available • Ability to lead complex, cross-functional initiatives and drive action through influence rather than formal authority • Exceptional written and verbal communication skills, including communicating effectively with senior and executive leadership • Experience analyzing customer lifecycle, retention, churn, conversion, payments, or other behavioral dynamics in a consumer business is strongly preferred • Experience in insurance, fintech, subscription businesses, or other transaction-heavy consumer products is a plus • Must be on camera for virtual interviews

🏖️ Benefits

• Competitive bonus • Equity offering • Work in whatever location works best across the US • Reasonable accommodation for qualified applicants with disabilities

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