Staff Analyst

Root Insurance

17d•$143,800 - $179,700•Remote

About The Position

Root is seeking a Staff Analyst to own analytics for its Customer Experience domain and serve as the analytical subject matter expert for policyholder retention. The role develops a holistic understanding of how customers experience Root, identifies key opportunities and risks, and translates analysis into clear recommendations and priorities. Customer Experience covers quoting and binding, policy management through app and web experiences, billing and payments, and decisions about whether to remain with Root. The Staff Analyst works independently with Product, Engineering, Data Science, Operations, and other teams to shape strategy and roadmap decisions, design rigorous measurement plans, and ground significant decisions in evidence. The role balances deep analytical work with executive-level decision support, translating customer behavior, business economics, and product performance into actionable choices. Root supports employees working from the US location that works best for them, with headquarters in Columbus, Ohio.

Requirements

At least 7 years of experience in Analytics, Decision Science, Product Analytics, Data Science, a similarly quantitative discipline, or equivalent demonstrated experience 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 and deep experience 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, with judgment in selecting methodologies appropriate to the business decision and available evidence.
Strong business acumen and ability to evaluate strategic options, quantify expected impact, make recommendations under uncertainty, and refine recommendations as evidence changes.
Ability to lead complex cross-functional initiatives and drive action through influence rather than formal authority, particularly across Product, Engineering, Data Science, and senior business stakeholders.
Exceptional written and verbal communication skills, including simplifying complex topics, building persuasive data-driven business cases, and communicating with senior and executive leadership.

Nice To Haves

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.

Responsibilities

Own analytics for the Customer Experience domain, developing metrics, analytical frameworks, monitoring, and business understanding across the customer journey.
Serve as Root’s analytical subject matter expert for policyholder retention; monitor performance, identify 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 by identifying opportunities, anticipating analytical needs, evaluating initiatives, and translating priorities into an actionable roadmap with cross-functional partners.
Frame ambiguous business problems, assess strategic options, build impact estimates and scenario analyses, and recommend a path forward under uncertainty.
Establish measurement plans for customer-facing initiatives, including hypotheses, success metrics, guardrails, instrumentation, and suitable 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 trends and risks, resolve analytical ambiguity, and influence cross-functional tradeoffs.
Partner with Product to evaluate external vendors and partnerships that materially affect customer experience or business outcomes.
Build reusable tools, frameworks, and analytical standards that improve decision quality and enable others to answer important questions independently.
Introduce analytical methods where they materially improve rigor and communicate findings to technical partners and senior and executive leaders.