Manager, People Analytics & Data Science

📋 Description

• Data foundation and analytics engineering
• Partner with data engineers to build and maintain reliable data pipelines and analytical datasets
• Develop reusable data models, transformations, validation checks, documentation, and monitoring to
• Collaborate with HR technology, enterprise data science, analytics, Finance, and other technical
• Translate business questions into clear data requirements, definitions, calculation logic, refresh
• Establish and maintain trusted metric definitions and improve the reliability, transparency

🎯 Requirements

• Bachelor's degree in data science, statistics, computer science, mathematics, engineering
• At least 7 years of experience in data science, people analytics, analytics engineering, business
• Experience working with people analytics, HR data, workforce planning, talent management
• Demonstrated ability to build data pipelines, analytical datasets, data models, or reusable
• Proven experience developing dashboards and self-service analytics products for business
• Experience applying statistical analysis, experimental design, forecasting, segmentation, or

🎁 Benefits

• Salary: Compensation varies by state and depends on experience, skills, and location:
• California: typical hiring range of $171,148–$209,181 per year.
• New Jersey, New York, Washington, Hawaii, Alaska, Maryland, Connecticut, Rhode Island, and
• Nevada, Oregon, Arizona, Colorado, Wyoming, Texas, North Dakota, Minnesota, Missouri, Illinois
• Utah, Idaho, Montana, New Mexico, South Dakota, Nebraska, Kansas, Oklahoma, Iowa, Arkansas
• Work flexibility: Remote work from anywhere in the United States for most positions.