Data Analytics Lead – Property & Casualty

Team Focus Insurance Group

Data Analytics Lead translating complex P&C insurance data into strategic insights, dashboards, and predictive models for FOCUS cloud administration solutions. Partnering with executives, engineering, and business teams while mentoring analysts.

Posted 8/4/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, statistical modeling, and data governance, with a strong ability to communicate complex analyses to both technical and non-technical audiences. Proficient in SQL and Python or R, with experience in leading analytics projects and collaborating across functions to drive data-driven decision-making.

Highest-signal resume keywords

Advanced SQL ProficiencyPython/R for Analytical WorkflowsBusiness Intelligence Tools (Power BI, Looker)Data Modeling and Warehousing ConceptsProperty and Casualty Insurance Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingPredictive FrameworksKPI Definition and TrackingData Quality Issue ResolutionComplex SQL QueriesData Pipeline ArchitectureETL ProcessesAnalytics Tool EvaluationProject ManagementData Governance

Soft Skills

Influencing Without AuthorityCommunication SkillsOrganizational SkillsMentorshipCollaboration

Tools & Technologies

Power BILookerData Engineering ToolsSelf-Service Reporting ToolsAnalytics Delivery Tools

Industry Keywords

Property and Casualty InsuranceInsurance ProductsRegulatory EnvironmentFinancial ServicesHealthcareAgency Management SystemsPolicy Administration PlatformsInsurance Data WarehousesAgile/Scrum ExperienceSprint Cycles

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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