Remote Lead Data Analyst, People Analytics & AI Insights

Progressive Insurance

United States

Remote

USD 98,000 - 131,000

Full time

2 hours ago
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Benefits offered by this job

401(k) with company match up to 6%
Medical, dental & vision coverage
Wellness programs
Life insurance
Paid time off and volunteer time off

Job summary

Progressive Insurance is seeking a lead data analyst in People Analytics to partner with Talent Acquisition and deliver data-driven insights while managing a portfolio of reporting solutions. You’ll evaluate emerging technologies, especially AI, to advance proactive, predictive analytics and support the Workday migration and a new Snowflake data model.

Remote work is allowed. The role emphasizes strong communication, ownership, and a proactive, collaborative approach across all levels of the

Qualifications

  • Eight+ years of analytical work experience or seven+ with a Bachelor's degree; alternative paths noted in job description.
  • Strong analytical capability with data modeling and reporting experience.
  • Proven ability to translate data insights into actionable recommendations.

Responsibilities

  • Lead data analytics in People Analytics and partner with Talent Acquisition leadership.
  • Deliver data-driven insights and manage a portfolio of reporting solutions.
  • Evaluate emerging technologies (AI) to advance proactive analytics and support Workday migration and Snowflake data model.

Skills

SQL
Python
Power BI
Tableau

Education

Bachelor's degree or higher in a quantitative field

Tools

Snowflake

Job description

Progressive Insurance is seeking a lead data analyst in People Analytics to partner with Talent Acquisition and deliver data-driven insights while managing a portfolio of reporting solutions. You’ll evaluate emerging technologies, especially AI, to advance proactive, predictive analytics and support the Workday migration and a new Snowflake data model.

Remote work is allowed. The role emphasizes strong communication, ownership, and a proactive, collaborative approach across all levels of the

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