Description
Leidos has a new and exciting opportunity for a Senior Human Capital Data Analyst in our Intel Sector Analysis Solutions Business Area (ASBA).
We offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more.
As a Senior Human Capital Data Analyst, you will analyze workforce data, build data visualizations, and provide analytic support for various human capital initiatives.
Key Responsibilities
- Analyze workforce data, including metrics related to hiring, retention, attrition, and organizational mobility, to identify trends and labor projections.
- Build and modify data visualization dashboards, reports, and other analytical products to meet client needs.
- Assist in the development and maintenance of position description libraries to standardize role information across the organization.
- Administer and manage relational databases, ensuring data integrity and accessibility.
- Normalize, standardize, and integrate disparate raw data sets for consistent analysis.
- Support survey design and execution across 18 Intelligence Community (IC) agencies.
- Provide data analytic support for surveys, data calls, and other human capital efforts, ensuring accurate and timely insights.
- Manage HR data and conduct thorough analysis to support workforce planning and decision-making processes.
Basic Qualifications
- Bachelor's degree and 18+ years of experience, a Master's degree and 10+ years of experience, or no degree with 24+ years of experience.
- Requires BA/BS and 8+ years of experience supporting data management, data governance, data integration, or enterprise data environments; or no degree and 12+ years of relevant experience.
- TS/SCI with Polygraph clearance required.
- Prior experience in data analysis within the Intelligence Community (IC).
- Strong ability to communicate technical or analytical findings in an easily understandable format through graphic, written, and verbal means.
- Core Tools: Advanced proficiency in Excel, Tableau, and relational database management is required.
Preferred Qualifications
- Experience with Cognos for reporting and dashboarding.
- Working knowledge of Python for data analysis and automation.
- Familiarity with additional tools such as VBA, R, SPSS, SAS, LimeSurvey, Personal Operations Portal (POPS), PD Library, and Lawson.
- Experience in workforce analytics and workforce planning, particularly in the context of human capital management and strategy.