Sr. Data Analyst, Customer Analytics (Insurance)

CCC Intelligent Solutions•Chicago, IL

19h•$84,724 - $120,000•Remote

About The Position

The Sr. Data Analyst will be a foundational member of the newly formed Customer Analytics team within Client Success. This role will turn raw customer data into actionable insights that drive retention, growth, and operational improvements across CCC's client base. The ideal candidate combines deep technical skills with strong business acumen and a passion for customer-centric storytelling through data. This role is critical to building a scalable Client Analytics function that helps CCC’s Client Success organization move from reactive reporting to proactive, insight-led client partnership. The analyst will help identify client trends, adoption opportunities, reporting gaps, and business risks, then translate those findings into clear recommendations that support retention, growth, and stronger client outcomes.

Requirements

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

Nice To Haves

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)

Responsibilities

Insight development to improve customer performance and Connect analytics outputs to measurable outcomes such as 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
Contributes measurable improvements in reporting efficiency, client insight quality, and adoption analytics
Cross-functional partnership with Client Success leadership, Product, Sales, and Operations
Advanced analytics: regression, clustering, predictive modeling for customer behavior forecasting
Data governance and quality monitoring
Stakeholder communication — translating complex findings into clear narratives
Process improvement and analytics workflow automation