Data Analytics Lead – Property & Casualty

🕒 6 days ago

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Team Focus Insurance Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1998

🛡️ Insurance

☁️ SaaS

🤝 B2B

Insurance • SaaS • B2B

Team Focus Insurance Group is a provider of flexible, cloud-based core administration and underwriting platforms designed to help insurance companies manage exposure, improve operating costs, and maximize profitability. Their InFocus Platform supports customer service, policy, billing, claims administration, and more, with a focus on real-time risk management. Team Focus offers tailored solutions and business process outsourcing (BPO) services to insurance companies, managing tasks like agency services, print, mail, and regulatory reporting. With a strong emphasis on technology and service integration, Team Focus Insurance Group caters to insurance startups and managing general agents (MGAs) by enhancing efficiency and providing bespoke software solutions.

📋 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