Senior People Data Analyst

Position Overview

As a Senior People Data Analyst, you will measure and communicate organizational health metrics at an enterprise level. Our team focuses on generating insights that inform organizational goals such as increasing profitability, employee engagement, retention, and belonging. As we grow, you will help the HR Operations and Analytics team by focusing on automation and building analytical solutions that can work at scale.

We are a small team, so the ability to work in multiple roles—such as consulting, scripting/automation, data visualization, data stewardship/management, and customer service—will be important to your success.

Employment Type

Full-Time

Location Type

Remote

Responsibilities

• Consult with department leaders to build and deliver data-driven insights and recommendations.
• Communicate complex data findings into strong narratives to support decisions.
• Develop and code programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple sources.
• Use scripting tools such as Python or JavaScript to build automated reporting pipelines that create data presentations with limited manual intervention.
• Help design and administer data collection methods, such as surveys, to collect information on job incumbents.
• Conduct statistical analyses combining several sources of data to gain insights on human capital such as retention metrics.
• Deliver project results in an easily clear format using data visualizations - such as power points, dashboards, or videos.
• Improve workflow to shift people analytics operations away from administrative procedures and towards strategic insights.
• Ensure the proper maintenance and documentation of data sources, sensitive information, and Workday reports.

Qualifications and Requirements

Educational Background

• Educational background or direct experience in Data Analytics, Industrial Organizational Psychology, Quantitative Psychology, Applied Statistics/Analytics or other quantitative fields of study.

Technical Skills

• Proficient at connecting and analyzing data in systems with related data sources.
• Experience with data collection, cleaning, and management. Navigating and joining across multiple complex data sets in different tools.
• Advanced proficiency in spreadsheet software such as Google Sheets.
• Skill in writing code that automates data tasks, such as Python or JavaScript.
• Understanding of statistical concepts (correlation, regression, T-test, ANOVA), research methods and experimental design.

Physical/Cognitive Requirements

• Prompt and regular attendance at assigned work location.
• Capability to remain seated in a stationary position for prolonged periods.
• Eye-hand coordination and manual dexterity to operate keyboard, computer and other office-related equipment.
• No heavy lifting is expected, though occasional exertion of about 20 lbs of force (e.g., lifting a computer / laptop) may be required.
• Capability to work with leadership, employees, and members in an appropriate manner.

Salary Information

The United States new hire base salary target ranges for this full-time position are:

• Zone A: $120,050 - $156,070 + equity + benefits
• Zone B: $138,058 - $179,481 + equity + benefits
• Zone C: $150,063 - $195,088 + equity + benefits
• Zone D: $156,065 - $202,891 + equity + benefits

This range reflects the minimum and maximum target for new hire salaries for candidates based on their respective Zone. Starting base salary for you will depend on several job-related factors, unique to each candidate, which may include education; training; skills; years and depth of experience; certifications and licensure; our needs; internal peer equity; organizational considerations; and understanding of geographic and market data.

Company Information

Join us to make Included Health the best place to work in healthcare!