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Data Analyst

Listing for: Eliassen Group
Full Time position Listed on 2026-11-13
Job specializations:
Salary/Wage Range or Industry Benchmark: 65 - 80 USD Hourly USD 65.00 80.00 HOUR

Job Description & How to Apply Below

Position: People Data Analyst

People Data Analyst

Anywhere

Type: Contract

Category: Data

Industry: Technology

Workplace Type: Remote

Standard

Hours:

Open

Rate: $65.00 to $80.00/hr. w2

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.

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.
Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not…

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