HR Data and Analytics Consultant

Leidos is seeking an HR Data & Analytics Consultant to support our HR Data & Analytics function with shaping and executing our Leidos HR analytics and AI strategy.   

Primary Responsibilities

• Deliver meaningful metrics, trends, key insights, and analytic solutions in all areas of HR support and services.
• Act as an Analytics consultant:
  • Perform quantitative and qualitative analyses answering key business questions, covering all aspects of the employee lifecycle and ROI/efficiency. Analyses may range from ad-hoc queries / descriptive stats to statistical modeling.
  • Monitor key metrics and understand root causes of changes/trends
  • Create Executive Briefing presentations. Develop compelling, logically structured presentations (including storytelling of research/analytics findings).  Present findings in easily understood ways, focusing on insights and aiding in decision making.
  • Be AI-forward in approach – always think about where we can leverage AI and technology in our approach to analytics and in storytelling.
• Contribute to HR Analytics Products / Toolkit
  • Develop and maintain analytics products: work through end-user requirements, design specifications, and prototypes; create datasets, ETL, and visualizations in partnership with IT team.
  • Manage analytics product portfolio: complete testing and signoff for implementation, maintain enhancements list and release schedule with IT.  Identify opportunities to advance our products & services along the analytics maturity curve, improving customer self-service and driving innovation and process improvement.

Basic Qualifications

• Bachelor’s degree in Business, Math/Statistics, Data Science, Computer Science or related quantitative field and eight (8) years of experience working in a data analytics environment, with proven ability to deliver high quality analyses and products within demanding timelines.
• Minimum of three (3) years of experience with HR data particularly maintaining, understanding, interpreting, and forecasting data OR comparable data analysis experience
• Minimum of three (3) years of performing queries, performing ETL or data wrangling actions, developing reports and visualizations, and creating a portfolio of analytic products.
• Minimum of one (1) year of experience with Power BI, Tableau, and/or Alteryx.
• Demonstrated ability to identify, analyze, and resolve problems logically and systematically.
• Demonstrated attention to detail and thorough understanding of data and organization structures, including impacts to data/metrics due to changes in organizational structure.
• Demonstrated experience identifying and addressing client needs: actively participating in client discussions and meetings.
• Exceptional ability to visually present and communicate data, analyses, and findings.
• Excellent verbal, communication, project management and analytical skills.
• Ability to work in a fast paced, complex organization and meet deadlines.
• Ability to maintain discretion and confidentiality with sensitive employee information.
• Ability to work independently and be part of a team environment.
• Ability to partner on cross-functional teams.
• Expertise in Microsoft Office (Excel, Word and PowerPoint).

Preferred Qualifications:

• Masters’s degree in Business, Math/Statistics, Data Science, Industrial/Organizational Psychology, Computer Science or related quantitative field
• Intermediate proficiency with R, Python, or SQL
• Experience building statistical models with people data

Experience with Workday data, reporting, and dashboards

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.