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CCC Intelligent Solutions

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 10/5/2026full-timeChicago • Illinois • 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.

Expertise in data analytics and business intelligence, with a strong focus on customer success metrics, predictive modeling, and actionable insights. Proficient in SQL, BI tools, and statistical analysis to drive operational improvements and client satisfaction.

Highest-signal resume keywords
Advanced SQL SkillsProficiency In TableauStatistical Analysis FoundationPython For Data AnalysisExperience With CRM Platforms

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Data AnalysisPredictive ModelingRegression AnalysisClusteringANOVAFactor AnalysisChurn ModelsCustomer Health ScoresAutomationBusiness Intelligence
Soft Skills
Exceptional Communication SkillsIntellectual CuriosityOwnership MentalityCollaborationAdaptability
Tools & Technologies
TableauPower BILookerDbtBigQuerySnowflakeSalesforce
Industry Keywords
Customer SuccessInsurtechData GovernanceAnalytics WorkflowsAI Literacy

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
  • Maintain data governance and quality monitoring
  • 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, including regression, ANOVA, cluster analysis, and 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 preferred
  • Experience with modern data stack tools such as dbt, BigQuery, and Snowflake preferred
  • Predictive/prescriptive analytics and AI/ML-assisted analysis exposure preferred
  • Experience building customer health scores, churn models, or adoption analytics preferred
  • CRM platform familiarity, such as Salesforce, preferred
  • AI literacy including prompt engineering and understanding of agentic AI frameworks preferred
  • Intellectual curiosity, ownership mentality, collaboration, adaptability, and business acumen
  • Judgment, communication, and stakeholder translation skills

Benefits

Comp & perks
  • Bonus and/or commission eligible
  • 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