Data Analytics Manager

Clearance Level
Business Process Analysis
Washington, District of Columbia

REQ#: RQ50893

Travel Required: Less than 10%
Public Trust: Other
Requisition Type: Regular

We are GDIT. The people supporting and securing some of the most complex government, defense, and intelligence projects across the country. We ensure today is safe and tomorrow is smarter. Our work has meaning and impact on the world around us, but also on us, and that’s important.

GDIT is your place. You make it your own by embracing autonomy, seizing opportunity, and being trusted to deliver your best every day.

We think. We act. We deliver. There is no challenge we can’t turn into opportunity. And our work depends on a Data Analytics Manager joining our team to support the Division of Federal Systems (DFS) activities on-site in Washington, DC

At GDIT, people are our differentiator. As a Data Analytics Manager supporting DFS, you will be trusted support the Division of Federal Systems (DFS) within the Federal Office of Child Support Enforcement (OCSE) and assist other divisions as directed.  You will direct data analytics projects and manage staff under the Performance Analysis and Evaluation task.

In this role, a typical day will include:

Developing analytics requirements and serving as a liaison between the line of business (LOB) teams, the Economic Analysis team and the Management Information Central Repository System's technical team. The position requires an individual with solid analytic skills and knowledge, as well as people manager experience.  Specific responsibilities for this individual include:


  • Steer the direction of analytics projects and presentations in coordination with the Program Strategic Advisor, assist with developing requirements for new management information (MI) data, performance metrics, and MI reports, and direct the work of analysts on the program.
  • Responsible for working with LOB teams and managers to capture requirements and document user stories related to management information needs.
  • Responsible for developing requirements and advising on the approach to capturing and reporting metrics for both on-going maintenance activities and new initiatives.
  • Assist Federal Managers and coordinate with the Program Strategic Advisor with using data to support business decisions.
  • Assist project teams with developing and capturing data to support program performance metrics.
  • Serve as the liaison between LOB teams and the Management Information Central Repository System (MICRS) and MICRS-Research System (MICRS-RS) development teams.
  • Attend MICRS system team meetings and backlog grooming sessions to advise on prioritization and business needs for management information.
  • Attend MICRS-RS system meetings, provide direction for analysis, assist with meeting coordination and ensure dissemination of information learned through these meetings.
  • Periodically review standard and on-demand reports to ensure that data presented is up-to-date and useful in answering business questions.
  • Analyze macro-level data from Federal systems as well as data submitted to OCSE by State Child Support Agencies.
  • Develop ad-hoc and analyses reports as needed.
  • Prepare data presentations for senior management utilizing Excel, PowerPoint, and Tableau.
  • Assist with creating content for the OCSE Data Blog, weekly “Stats and A Glance” write-ups, and other OCSE publications.
  • Present analysis of OCSE data at state, regional, and national conferences, as requested
  • Assists in directing statistical research and analysis on the OCSE program using multiple types of survey tools, statistical techniques, and software. Types of analysis will include child support program research, trend analysis, cost projections and cost effectiveness analysis.
  • Examine existing statistical programs for consistency and relevance to current and emerging issues in the child support field.
  • Perform research data analysis to identify statistical trends and patterns of state agencies against the national averages.
  • Perform other administrative, technical, functional, and support duties as assigned.


  • 4-5 years’ experience in data analytics and/or requirements analysis required; more than 5 years desirable.
  • 2-3 years in people manager experience required; additional experience in this area preferred.
  • Strong analytical abilities required, knowledge of data mining/data profiling or predictive analytics is preferred.
  • Strong written and oral communication skills.
  • Experience designing and developing presentations that summarize the results of analytical work for managers and executives.
  • The ability to handle multiple tasks simultaneously and the ability to work independently in a high stress environment.
  • Self-motivation and intellectual curiosity; the ability to come up with new research queries and questions without explicit direction.
  • An orientation towards customer service, including being proactive and providing recommendations to customers for new direction.
  • An aptitude for learning the inter-related functions of the OCSE data collection systems.
  • Solid proficiency with MS Excel, Word, PowerPoint, and Access required.


  • Child support or human services experience helpful but not required.
  • Experience using Tableau Data Visualization Software required, additionally, experience with Microsoft Power BI or other Business Intelligence tools is desirable.
  • Experience using SPSS, Python, R and/or SQL is desirable.
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.