[Hiring] Manager, People Analytics & Data Science @Mercury Insurance Services, LLC

Role Description

Mercury is building a connected, trusted people analytics capability that puts decision-ready data and insights in the hands of leaders when and where they need them. The Manager, People Analytics & Data Science will help build that capability from the data foundation through the leader experience.

This role will:

• Build reliable data pipelines and analytical datasets.
• Establish trusted metric definitions.
• Deliver robust dashboards that enable self-service people data for Mercury leaders.
• Conduct targeted research and advanced analysis—including predictive and AI-enabled methods.
• Surface new insights on workforce risks, capacity, performance, productivity, and other priorities.

The successful candidate will combine technical depth with strong business judgment, moving from a business question to a data model, from a data model to a clear dashboard, and from an observed pattern to a well-supported recommendation.

Responsibilities

• Data foundation and analytics engineering:
  • Partner with data engineers to design, build, and maintain reliable data pipelines and analytical datasets.
  • Develop reusable data models, transformations, validation checks, documentation, and monitoring.
  • Partner with HR Tech, Enterprise Data Science, Data & Analytics, Finance, and other technical teams.
  • Translate business and People questions into clear data requirements.
  • Establish and maintain metric contracts.
  • Improve the reliability, transparency, privacy, and usability of people data.
• Dashboards and self-service people data:
  • Own the end-to-end delivery of leader-facing people data products.
  • Build robust operational and executive dashboards.
  • Deliver focused dashboard experiences for leaders.
  • Design for self-service by developing intuitive personas and access patterns.
  • Embed relevant people insights into existing executive reporting.
  • Measure usage, trust, decision relevance, and adoption.
• Research, advanced analytics, and predictive insight:
  • Conduct targeted research and analysis on prioritized questions.
  • Apply exploratory analysis, statistical methods, and predictive modeling.
  • Translate complex analysis into clear findings and recommendations.
  • Design analyses with appropriate validation and privacy protections.
  • Develop repeatable approaches for research intake and analysis.
  • Partner with stakeholders to connect analytical findings to decisions.
• Partnership and capability building:
  • Build trusted relationships with People leaders and other partners.
  • Shape and maintain an analytics roadmap.
  • Establish practical standards for data quality and responsible use.
  • Help leaders and People partners build confidence in using people metrics.
  • Lead through influence and contribute to a high-performing team.

Qualifications

• Bachelor’s degree in data science, statistics, computer science, mathematics, engineering, economics, business analytics, or a related field.
• 7+ years of experience in data science, people analytics, analytics engineering, business intelligence, data engineering, or a related field.
• Experience with People Analytics, HR data, workforce planning, talent, compensation, performance, or organizational research.
• Demonstrated experience building data pipelines, analytical datasets, or other reusable analytics infrastructure.
• Demonstrated experience developing dashboards or self-service analytics products.
• Strong hands-on skills with SQL and Python or R.
• Experience with data modeling, BI tools, and production-quality documentation.
• Strong foundation in statistics, experimental design, and predictive modeling.

Requirements

• Able to distinguish between a reporting need, a diagnostic question, and a research or modeling question.
• Product-minded and user-centered.
• Strong storyteller who can make complex analysis clear and actionable.
• Highly collaborative, curious, pragmatic, and comfortable working across teams.
• Strong judgment and discretion when handling confidential data.
• Able to build in ambiguity and continuously improve the quality of work.

Benefits

• Competitive compensation.
• Flexibility to work from anywhere in the United States for most positions.
• Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours).
• Incentive bonus programs.
• Medical, dental, vision, life, and pet insurance.
• 401 (k) retirement savings plan with company match.
• Engaging work environment.
• Promotional opportunities.
• Education assistance.
• Professional and personal development opportunities.
• Company recognition program.
• Health and wellbeing resources.