Analytics and Insights Engineer III, Workforce Data Analysis

Deloitte•Arlington, VA
•$102,800 - $188,400•Onsite

About The Position

Our Deloitte Human Capital team helps organizations create value through people performance. We help clients reimagine work, the workforce, and the workplace across the enterprise, and transform HR functions with artificial intelligence and emerging technology. In today’s rapidly changing environment, this role supports efforts that help clients improve workforce access, development, motivation, organization, and culture to enable performance.

Requirements

  • 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
  • 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

Nice To Haves

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

Responsibilities

  • 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

Benefits

  • Discretionary annual incentive program
  • Professional development opportunities
  • Opportunities to build new skills
  • Opportunities to take on leadership roles
  • Mentorship opportunities
  • On-the-job learning experiences
  • Formal development programs
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