Sr. Data Analyst, Customer Analytics (Insurance)

CCC Intelligent Solutions is a cloud platform serving the insurance economy with technology and analytics solutions. The Sr. Data Analyst will turn customer data into actionable insights that support retention, growth, product adoption, and operational improvements, while building dashboards, conducting advanced analytics, monitoring data quality, and communicating recommendations to stakeholders.

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

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
• • 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)