People Data Analyst

Eliassen Group; United States; Remote; USD 90,000 - 110,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401k with company matching

Life Insurance

Job summary

Eliassen Group is seeking a remote People Data Analyst to support People Analytics across HR data, talent, performance, and employee development. You will work hands-on with complex HR data to identify trends, build analyses, and apply statistical modeling when appropriate.

The role involves exploring how AI-enabled analytics can improve speed, depth, and scalability of People Analytics, with a W2 employment model and a benefits package including medical, dental, vision, 401k matching, and life

Qualifications

• Experience in People Analytics, HR Analytics, or related HR data domains.
• Hands-on with HR datasets covering performance, talent, development, and movement.
• Strong analytical skills and ability to work independently with complex data.
• Proficiency with SQL and advanced data analysis.

Responsibilities

• Analyze large HR datasets to identify patterns, trends, risks, and opportunities.
• Support People Analytics initiatives across performance, talent, and employee development.
• Perform advanced analytics and statistical modeling as needed.
• Translate HR questions into structured analytical approaches and develop repeatable analyses.

Skills

SQL

Python

R

Statistical analysis

Data visualization

Tools

Workday

Excel

Job description

Description:

Remote

Our client seeks a highly engaged and curious People Data Analyst to support People Analytics with additional analytical capacity across HR data, talent, performance, and employee development. The analyst will work hands-on with complex people data to identify trends, generate insights, build analyses, and perform statistical modeling when appropriate. The role sits at the intersection of HR analytics, data analysis, business insight, and applied data science. The analyst will also explore how AI-enabled analytics and tools can improve the speed, depth, and scalability of People Analytics.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $65.00 to $80.00/hr. w2

JN -112026-109425

Responsibilities:

• Analyze large and complex HR and workforce datasets to identify patterns, trends, risks, and opportunities.
• Support People Analytics initiatives across performance management, talent management, employee development and career growth, workforce and talent trends, employee populations, and organizational effectiveness.
• Perform advanced analytics and statistical modeling as needed.
• Translate business and HR questions into structured analytical approaches.
• Develop insights that help leaders understand employee performance, talent movement, development, and workforce dynamics.
• Combine and analyze data across multiple HR systems and data sources.
• Partner with People Analytics, HR, People Technology, and business stakeholders to determine the best analytical approach.
• Build repeatable analyses, dashboards, models, and reporting to increase analytical capacity.
• Use AI-enabled tools and approaches to accelerate data exploration, analysis, synthesis, and insight generation.
• Identify opportunities where predictive analytics, statistical methods, or machine learning techniques could provide additional insight.
• Present findings clearly to both technical and non-technical stakeholders.
• Ask thoughtful questions, challenge assumptions, and proactively explore what the data may be indicating beyond the initial request.

Experience Requirements:

• Experience in People Analytics, HR Analytics, Workforce Analytics, or HR Data Analytics.
• Hands-on experience with HR datasets related to performance, talent, development, employee movement, workforce planning, or organizational data.
• Strong analytical skills and ability to work independently with complex or imperfect datasets.
• Proficiency with SQL and advanced data analysis.
• Experience with Python or R for data analysis, statistical modeling, or automation.
• Experience with visualization tools.
• Working knowledge of statistical methods such as regression, correlation, segmentation, forecasting, or predictive modeling.
• Familiarity with enterprise HR platforms such as Workday and related people data environments.
• Ability to communicate analytical findings as clear business insights.
• Experience using or experimenting with AI and generative AI tools to improve analytical productivity is desirable.