Note: The job is a remote job and is open to candidates in USA. FOCUS provides cloud-based core administration solutions and services for property and casualty insurance companies and MGAs. The Property & Casualty Data Analytics Lead drives strategic analytics initiatives across underwriting, claims, distribution, and client experience, while partnering with stakeholders, leading complex data projects, and mentoring analysts.
Responsibilities
- Design and lead end-to-end analytics projects addressing strategic business questions across P&Cunderwriting, claims, distribution, and client experience
- Develop advanced statistical models, segmentation analyses, and predictive frameworks to surface trends from large, complex datasets
- Define and track key performance indicators (KPIs) and metrics that drive business accountability and operational improvement
- Identify data gaps and quality issues; partner with data engineering to resolve root causes and improve data integrity
- Synthesize findings into clear, compelling narratives for both technical and non-technical audiences
- Architect and maintain scalable data models and pipelines in collaboration with data engineering teams
- Build and own executive-level dashboards and self-service reporting tools using BI platforms (e.g., Power BI, Looker)
- Write complex SQL queries and leverage Python/R for statistical analyses, automation, and ad hoc investigations
- Document data definitions, methodology, and analytical logic to ensure reproducibility and organizational knowledge transfer
- Evaluate and implement new analytics tools and technologies to improve team efficiency and capability
- Partner with business leaders in Sales, P&C Underwriting, Operations, and Finance to translate needs into analytical project plans
- Facilitate requirements-gathering sessions and proactively manage expectations around timelines, scope, and deliverables
- Present analytical findings and recommendations to senior leadership; clearly articulate business impact and suggested actions
- Serve as a subject matter expert for data governance, data definitions, and analytical best practices across the organization
- Collaborate with IT and data engineering on infrastructure priorities, ensuring analytics requirements are represented in the roadmap
- Provide guidance, code review, and technical mentorship to junior and mid-level analysts on the team
- Lead project planning and workload prioritization for analytics initiatives; coordinate cross-functional delivery timelines
- Champion a culture of data-driven decision-making and analytical rigor across the organization
- Contribute to hiring, onboarding, and professional development efforts within the analytics function
Skills
- 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, with 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
- Proven ability to build and communicate complex analyses to executive and non-technical audiences
- Strong understanding of data modeling, data warehousing concepts, and ETL processes
- Excellent project management and organizational skills; ability to manage multiple priorities in a fast-paced environment
- High emotional intelligence with demonstrated ability to influence without formal authority
- Travel: Minimal; up to 10% travel may be required for team meetings, conferences, or client visits
- Work Hours: Standard business hours (Monday–Friday); occasional flexibility required to meet project deadlines or collaborate across time zones
- Master's degree (MBA, MS in Data Science, Analytics, or related discipline)
- Relevant certifications such as Google Data Analytics, or AWS Certified Data Analytics
- Experience in the insurance, financial services, or healthcare industry
- Prior exposure to agency management systems, policy administration platforms, or insurance data warehouses
- Experience working in an Agile/Scrum environment and managing analytics delivery within sprint cycles
- Knowledge of insurance products, terminology, and regulatory environment is a strong plus
Benefits
- Medical, Dental, Vision, Life, Pet; Flexible Spending Account
- 401K Match
- Work-Life Balance: 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
- Flexibility: Remote and Hybrid Opportunities Available
Company Overview
Company H1B Sponsorship