Job Description:
• Design and lead end-to-end analytics projects across P&C underwriting, claims, distribution, and client experience
• Develop statistical models, segmentation analyses, and predictive frameworks from complex datasets
• Define and track KPIs and metrics for accountability and operational improvement
• Identify data gaps and quality issues and partner with data engineering to resolve root causes
• Synthesize findings into narratives for technical and non-technical audiences
• Architect and maintain scalable data models and pipelines with data engineering
• Build and own executive dashboards and self-service reporting tools
• Write complex SQL queries and use Python/R for statistical analyses, automation, and investigations
• Document data definitions, methodology, and analytical logic
• Evaluate and implement analytics tools and technologies
• Partner with Sales, P&C Underwriting, Operations, and Finance leaders to translate needs into project plans
• Facilitate requirements gathering and manage timelines, scope, and deliverables
• Present findings and recommendations to senior leadership
• Serve as subject matter expert for data governance, definitions, and analytical best practices
• Collaborate with IT and data engineering on infrastructure priorities and roadmaps
• Provide code review, technical guidance, and mentorship to junior and mid-level analysts
• Lead project planning and workload prioritization
• Coordinate cross-functional delivery timelines
• Champion data-driven decision-making and analytical rigor
• Contribute to hiring, onboarding, and professional development within analytics
Requirements:
• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field
• 6+ years of progressive experience in data analytics, business intelligence, or a related role
• At least 2 years in a lead or senior capacity
• Advanced proficiency in SQL
• Strong working knowledge of Python or R for analytical workflows
• Expertise with BI and visualization tools such as Power BI or Looker
• Ability to build and communicate complex analyses to executive and non-technical audiences
• Strong understanding of data modeling, data warehousing concepts, and ETL processes
• Project management and organizational skills to manage multiple priorities
• Ability to influence without formal authority
• Minimal travel availability, up to 10%
• Standard Monday–Friday business hours with occasional flexibility for deadlines or cross-time-zone collaboration
• Property and Casualty insurance expertise is expected; knowledge of insurance products, terminology, and regulatory environment is a strong plus
• Preferred experience in insurance, financial services, or healthcare
• Preferred exposure to agency management systems, policy administration platforms, or insurance data warehouses
• Preferred Agile/Scrum experience and analytics delivery within sprint cycles
Benefits:
• Medical, Dental, Vision, Life, and Pet benefits
• Flexible Spending Account
• Competitive Salaries
• 401K Match
• Personal Days
• PTO Days
• 12 Paid Holidays
• Two Paid Days for Volunteer Service
• Paid Parental Leave
• Short- and Long-Term Disability
• Employee Support Programs, including Mental Health
• Tuition Reimbursement
• Matching Charitable Gift Program
• Lucrative Referral Program
• Commuter Benefits
• Remote and Hybrid Opportunities Available
• Professional development and advancement opportunities
• Support of outstanding leaders and teammates
• Minimal travel, up to 10% for team meetings, conferences, or client visits