Property & Casualty Data Analytics Lead

🔥 12 hours ago

🌵 Arizona, Ohio, +2 more states – Remote

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⏰ Full Time

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

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👻 Ghost score 10%

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Logo of PEAK6

PEAK6

1001 - 5000 employees

💼 Consulting

🛡️ Insurance

💳 Fintech

Consulting • Insurance • Fintech

PEAK6 is an innovative investment firm headquartered in Austin, Texas, with a global presence that includes a diverse portfolio of businesses. The company operates outside traditional investment practices, focusing on capturing unique opportunities and leveraging technology to enhance performance. PEAK6 encompasses various entities, including capital management, fintech solutions, and education initiatives, aiming to simplify processes, democratize financial access, and empower consumers. With over 25 years in the industry, PEAK6 strategically invests in transformative ideas, ensuring flexibility in the dynamic financial landscape.

📋 Description

• Design and lead end-to-end analytics projects across P&C underwriting, claims, distribution, and client experience • Develop advanced statistical models, segmentation analyses, and predictive frameworks • Define and track KPIs and metrics for business accountability and operational improvement • Identify data gaps and quality issues and partner with data engineering to resolve root causes • Synthesize findings into clear narratives for technical and non-technical audiences • Architect and maintain scalable data models and pipelines with data engineering teams • Build and own executive dashboards and self-service reporting tools using Power BI or Looker • 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 • Facilitate requirements-gathering sessions and manage expectations on timelines, scope, and deliverables • Present findings and recommendations to senior leadership • Serve as a subject matter expert in 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 • Contribute to hiring, onboarding, and professional development efforts

🎯 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 • 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

🏖️ Benefits

• Minimal travel; up to 10% travel may be required • Standard business hours, Monday–Friday, with occasional flexibility for project deadlines or cross-time-zone collaboration • Equal opportunity employment • Inclusive and accessible workplace • Reasonable accommodations for qualified individuals with disabilities

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