Senior Data Analyst, Customer Analytics – Insurance

CCC Intelligent Solutions

. Turn raw customer data into actionable insights that drive retention, growth, and operational improvements across CCC's client base .

Posted 9/18/2026full-timeRemote • United StatesSenior💰 $84,724 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in analytics and business intelligence, leveraging advanced SQL, Tableau, and Python to drive customer retention and operational improvements. Proficient in statistical analysis and predictive modeling to translate complex data into actionable insights for stakeholders.

Highest-signal resume keywords

Advanced SQL SkillsTableau ProficiencyPredictive ModelingStatistical AnalysisCustomer Health Analytics

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisRegression AnalysisClusteringANOVAPythonRBI Dashboard DevelopmentData GovernanceAutomationChurn Modeling

Soft Skills

Exceptional CommunicationIntellectual CuriosityOwnership MentalityCollaborationAdaptability

Tools & Technologies

TableauPower BILookerDbtBigQuerySnowflakeSalesforce

Industry Keywords

Customer SuccessInsurtechPredictive AnalyticsAI LiteracyBusiness Acumen

Tech Stack

Tools & technologies

BigQueryPythonSQLTableau

About the role

Key responsibilities & impact

Turn raw customer data into actionable insights that drive retention, growth, and operational improvements across CCC's client base
Identify client trends, adoption opportunities, reporting gaps, and business risks
Translate findings into clear recommendations supporting retention, growth, and stronger client outcomes
Develop insights connecting analytics outputs to product adoption, expansion opportunity, operational efficiency, and client satisfaction
Design, build, and maintain BI dashboards and reports tracking customer health metrics, adoption, churn risk, and engagement
Own core dashboards and repeatable analytics and reporting deliverables
Contribute measurable improvements in reporting efficiency, client insight quality, and adoption analytics
Partner cross-functionally with Client Success leadership, Product, Sales, and Operations
Apply regression, clustering, and predictive modeling to forecast customer behavior
Monitor data governance and quality
Translate complex findings into clear narratives for stakeholders
Improve processes and automate analytics workflows

Requirements

What you’ll need

5+ years in analytics, BI, or data analyst roles (ideally supporting Customer Success or customer-facing functions)
Advanced SQL skills
Proficiency in Tableau, Power BI, Looker, or similar BI tools
Statistical analysis foundation (regression, ANOVA, cluster analysis, factor analysis)
Python or R for data analysis and automation
Exceptional communication skills
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field
Insurance or insurtech industry experience
Modern data stack tools (dbt, BigQuery, Snowflake)
Predictive/prescriptive analytics and AI/ML-assisted analysis exposure
Experience building customer health scores, churn models, or adoption analytics
CRM platform familiarity (e.g., Salesforce)
AI literacy including prompt engineering and understanding of agentic AI frameworks
Intellectual curiosity, ownership mentality, collaboration, adaptability, business acumen
Judgment, communication, and stakeholder translation skills (per Gartner's "questionneer" concept)

Benefits

Comp & perks

401K Match
Paid time off
Annual Incentive Plan Performance Bonus
Comprehensive health insurance
Adoption Assistance
Tuition Reimbursement
Wellness Programs
Stock Purchase Plan options
Employee Resource Groups