Senior Data Analyst, Partner Analytics

Root Inc.

Senior Data Analyst specializing in Partner Analytics for insurtech company. Responsible for building analytical frameworks and driving data-driven decisions for partner growth.

Posted 7/24/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $110,000 - $125,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analytics and decision science, with strong SQL skills and proficiency in BI tools such as Tableau, Mode, and Power BI. Capable of designing experiments and translating complex data insights into actionable recommendations for stakeholders.

Highest-signal resume keywords

SQL SkillsBusiness Intelligence ToolsStatistical AnalysisExperimentation DesignAnalytical Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AnalyticsDecision ScienceData StrategyStatistical AnalysisExperimentation DesignROI ModelingForecastingData Hygiene

Soft Skills

Excellent CommunicationDetail-OrientedHigh Ownership Mindset

Tools & Technologies

TableauModePower BI

Industry Keywords

Partner HealthFunnel PerformancePortfolio EconomicsData PipelinesA/B Testing

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & impact

Design and maintain scalable dashboards and performance reporting to measure partner health, funnel performance, and portfolio economics and drive action.
Support analytical workstreams for partner diligence, onboarding, and optimization — including forecasting and ROI modeling.
Build frameworks to evaluate partner economics versus expectations.
Partner with Product, Business Development, and Marketing to evaluate new opportunities, test hypotheses, and guide investment decisions.
Design and execute experiments (A/B or quasi-experimental) to assess and improve partner conversion funnels.
Collaborate with data engineering to enhance data pipelines and ensure accurate, reliable partner reporting.
Translate technical insights into clear, actionable recommendations for stakeholders.

Requirements

What you’ll need

3–5 years of experience in analytics, decision science, or data strategy
Strong SQL skills and proficiency with BI tools (Tableau, Mode, Power BI)
Experience with statistical analysis, experimentation design, and AI-enabled tools preferred
Proven ability to structure ambiguous business questions into analytical frameworks
Excellent written and verbal communication — able to translate complex findings into actionable insights
Detail-oriented with strong documentation and data hygiene habits
High ownership mindset and comfort operating in fast-paced, evolving environments.

Benefits

Comp & perks

Bonus & LTI eligible
Flexible work arrangements