Note: The job is a remote job and is open to candidates in USA. FOCUS, part of PEAK6’s portfolio of technology-driven businesses, is seeking a Lead, Data Analytics to drive strategic data use across its organization. The role leads complex analytics initiatives in Property and Casualty insurance, develops models and dashboards, partners with business and technical stakeholders, and mentors analysts to deliver actionable insights.
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
- 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
- Remote work arrangement
- Minimal travel; up to 10% travel may be required for team meetings, conferences, or client visits
- Standard business hours (Monday–Friday); occasional flexibility required to meet project deadlines or collaborate across time zones
Company Overview
Company H1B Sponsorship