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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analytics and decision science, with a strong focus on customer experience metrics, retention strategies, and experimental design. Proficient in leveraging advanced analytical tools and programming languages to drive data-informed decisions and influence cross-functional initiatives.
Highest-signal resume keywords
Advanced SQL SkillsProficiency With PythonDeep Expertise In Experimental DesignStrong Business AcumenExceptional Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AnalyticsDecision ScienceProduct AnalyticsData ScienceStatistical AnalysisCausal InferenceModelingAutomationAnalytical FrameworksBusiness Intelligence
Soft Skills
Influencing Without AuthorityWritten CommunicationVerbal CommunicationProblem FramingStrategic Thinking
Tools & Technologies
TableauModePower BILarge DatasetsAnalytical Programming Languages
Industry Keywords
Customer ExperienceRetentionChurnConsumer BusinessInsuranceFintechSubscription Businesses
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Competitive bonus
- Equity offering
- Work in whatever location works best across the US
- Reasonable accommodation for qualified applicants with disabilities
