[Remote] Data Analytics Lead (Property & Casualty)

Note: The job is a remote job and is open to candidates in USA. PEAK6 is a leading investment firm that leverages technology to optimize various business processes. The Data Analytics Lead will drive strategic data use within FOCUS' Data & Technology division, leading complex analytics initiatives and serving as a subject matter expert in the Property and Casualty insurance sector.

Responsibilities

• Design and lead end-to-end analytics projects addressing strategic business questions across P&C underwriting, 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
• Knowledge of insurance products, terminology, and regulatory environment is a strong plus
• 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

Benefits

• Healthcare benefits (medical, dental and vision, EAP)
• Competitive PTO
• 401k match
• Parental leave
• HSA contribution match
• Paid subscription to the Calm app
• Generous external learning and tuition reimbursement benefits
• Ability to work remotely up to two days a week

Company Overview

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