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# Analytics and Insights Engineer III, Workforce Data Analysis

- **Company:** Deloitte T.T.L.
- **Location:** Arlington, VA, United States
- **Experience:** Experienced
- **Salary:** $102,800.0 - $188,400.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Visualization, SPSS (Software), Python (Programming Language), Tableau (Software), Unstructured Data
- **Published:** September 20, 2026
- **Apply:** https://dejobs.org/x/x/62F3D26A8D7743E2BA0FB03109023AEC/job/

## About the Role

* Ability to work independently and collaborate as part of a team
 * Effective written and verbal communication skills
 * Meticulous attention to detail and quality of work product
 * Ability to build and sustain professional relationships
 * Ability to lead projects or workstreams
 * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
 * Strong interpersonal skills and professional demeanor
 * Ability to meet deadlines
 * Ability to provide clear guidance to others, Required:
 * Bachelor's degree
 * 5+ years of professional work experience
 * 2+ years of experience developing data visualizations and conducting data analysis, preferably with HR datasets in Tableau and/or SPSS
 * Active TS/SCI with Polygraph security clearance required
 * Ability to be on site 100% of the time in Chantilly, VA
 * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

 * Experience working with structured and unstructured data from multiple source systems
 * Experience with Python for Data Manipulation and Analysis

## Description

As a Data Analysis Analytics and Insights Engineer III on the team, you will be responsible for...

 * Developing dashboards, reports, and visualizations using Tableau and/or SPSS to support analysis of workforce and human resources data
 * Conducting data analysis across HR datasets to identify trends, patterns, and actionable insights for stakeholders
 * Aggregating, cleaning, and validating structured and unstructured data from multiple source systems to support reporting and decision-making
 * Using Python to manipulate, transform, and analyze data in support of recurring and ad hoc business needs
 * Supporting work in a classified environment and complying with security and clearance requirements


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