Manager, People Analytics & Data Science

Location: Remote within the United States. An in-person interview may be required during the hiring process.

Salary: $128,136–$252,194 annually, depending on state, experience, skills, and location. California hiring range: $171,148–$209,181.

Company

hirify.global is an insurance company focused on helping people reduce risk and overcome unexpected events.

What you will do

• Design and maintain reliable data pipelines, analytical datasets, reusable data models, transformations, validation checks, and documentation.
• Partner with HR Tech, Enterprise Data Science, Finance, and other technical teams on data architecture, integrations, access, and quality.
• Build and manage leader-facing people data products, operational dashboards, executive reporting, and self-service analytics experiences.
• Establish trusted metric definitions, ownership, refresh expectations, documentation, and governance standards.
• Conduct research and advanced analysis on attrition risk, workforce planning, capacity, performance, productivity, manager effectiveness, and AI-enabled work.
• Translate complex analysis into clear findings and recommendations while connecting insights to decisions, interventions, and impact measures.

Requirements

• 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.
• Strong hands-on skills with SQL and Python or R, plus experience with data pipelines, transformation, testing, data modeling, semantic layers, BI tools, cloud data platforms, version control, and production-quality documentation.
• Strong foundation in statistics, experimental design, causal reasoning, predictive modeling, and model evaluation.
• Ability to communicate analytical findings to senior leaders, exercise discretion with confidential People data, and collaborate across business and technical teams.

Nice to have

• Experience applying AI-enabled methods and responsible-use principles to people analytics.
• Experience building scalable self-service analytics products and predictive workforce analysis.

Culture & Benefits

• Remote flexibility for most positions within the United States.
• Paid vacation, sick time, company holidays, and volunteer hours.
• Medical, dental, vision, life, and pet insurance.
• 401(k) retirement savings plan with company match and incentive bonus programs.
• Education assistance, professional development opportunities, recognition programs, and health and wellbeing resources.