Senior Product Data Analyst - Strategy & Insights

PEMCO; Idaho; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

401(k) match

Vacation and holidays

Floating holidays

Job summary

PEMCO seeks a Principal Product Analyst to lead complex quantitative analyses of property and casualty products, guiding product strategy with analytical insights. The role involves cross-functional leadership, data warehousing enhancements, and partnering with Product Managers and Actuarial teams to improve performance.

Candidate will mentor analysts, develop scalable data models, and present findings to executives.

Qualifications

• S. degree or equivalent in Business, Economics, Mathematics, or quantitative fields is required
• 10+ years in corporate analytics roles with pricing insurance products or similar
• Experience integrating and manipulating large data files from multiple sources
• Proficient in SQL queries and data modeling for scalable infrastructure
• Strong communication skills, able to present complex analyses to executives

Responsibilities

• Lead complex quantitative analyses to evaluate product performance
• Represent Product in cross-functional projects and with stakeholders
• Develop and implement analytical strategies with Product Managers and Actuarial team
• Plan and manage large-scale, complex projects independently
• Mentor junior analysts and share best practices
• Document complex workflows and data processes
• Identify data enhancements and efficiency gains in data warehousing

Skills

SQL

Data Viz

Power BI

Tableau

Excel

SQL Server

Communication

Stakeholder Mgmt

Analytical Modeling

Quantitative Analysis

Education

S. degree or equivalent

MS/PhD preferred

Tools

SQL Server

Power BI

Tableau

MS Office

WTW Radar

Job description

PEMCO seeks a Principal Product Analyst to lead complex quantitative analyses of property and casualty products, guiding product strategy with analytical insights. The role involves cross-functional leadership, data warehousing enhancements, and partnering with Product Managers and Actuarial teams to improve performance.

Candidate will mentor analysts, develop scalable data models, and present findings to executives.