GDIT

Program/DataAnalyst-Supervisor

$124–167k United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Program/Data Analyst - Supervisor at GDIT. Skills: Data Analytics, Data Science, Project Management, Quality Assurance (QA). support the data collection and analysis efforts involved with overseeing the implementation of a government program with respect to the care and placement of participants in a network of care providers. enhance and develop reporting and analytics capabilities”

What You'll Achieve.

ensure that the team is supported and meeting the customer’s delivery requirements; yield statistically reliable and informative data; support field program assessments; Assist in identifying performance outcomes and indicators; prepare written summaries and presentations that reflect the results of the data analysis and present findings to agency leadership; Oversee the quality and the production of both routine and ad hoc analytical reports

Industry & Context.

Problems you'll solve

Exceptional analytical skills; data interpretation/analysis

Eligibility Requirements

MBI (T2) clearance, This position requires an existing Public Trust or the ability to obtain one, This role and associated duties will be performed remotely with the potential to perform work on site at a government facility located in Washington, DC at a future date

What They're Looking For.

Must Have

8 + years of related experience, Bachelor's degree in data science, data analytics, or similar degree with at least 8 years of experience conducting quantitative and qualitative data interpretation and analysis, Working knowledge of data visualization platforms (Tableau or Power BI), Working knowledge of SQL, familiarity with relational databases, Advanced skills in Excel, Advanced skills in VBA, Exceptional analytical skills, written and verbal communication skills, attention to detail

Nice to Have

Master’s degree preferred, Prior experience leading data projects and initiatives or data centric teams, Experience working with immigrants, refugees, and underserved populations is preferred, Statistical analysis and modeling, Natural language processing, Experience with quantitative and qualitative data analysis, Data engineering and experience working with large datasets, performing tasks such as data cleaning and processing (ETL), Solid knowledge of SQL including CTE’s, Python and/or R, Tableau, Palantir, Linux and ability to maintain a Linux server

What You'll Do.

support the data collection and analysis efforts involved with overseeing the implementation of a government program with respect to the care and placement of participants in a network of care providers

enhance and develop reporting and analytics capabilities

support forecast modeling

develop automated reporting solutions and dashboards

build briefing products

conduct and deliver analyses

coordinate/implement data collection efforts

Monitor and support the progress of individual team members

Provide updates and new guidance to the team

Provide technical assistance to team members

Provides training for new staff

Monitor program areas being supported by GDIT staff

Provides oversight of the quality of work and deliverables

Monitor staff performance

providing additional training and feedback

Complete Performance Improvement Plans (PIPs)

Complete annual performance evaluations

Review monthly Approve and submit consolidated reports

Review and approve timecards

schedules and flex time requests

Serves as primary point of contact for stakeholder questions

Acts as mentor and provides training and technical assistance to GDIT contract staff members

Work within federal staff led functional lanes to enhance the collection and analysis of program data

Update and develop on-site data collection tools and processes to yield statistically reliable and informative data and support field program assessments

Assist in identifying performance outcomes and indicators

Identify uniform data points and conduct high-level data interpretation/analysis using a data analytics platform

Prepare written summaries and presentations that reflect the results of the data analysis and present findings to agency leadership

Oversee the quality and the production of both routine and ad hoc analytical reports

Assist in the training of contractor and field staff on the use of data collection and analysis tools

Support with projects that promote the continual improvement of data analysis

and visualize data using a data visualization platform such as Power BI or Tableau

Build data repositories/databases and provide ad-hoc data reporting as needed

How You'll Work.

Team & Collaboration

Monitor and support the progress of individual team members; Provide updates and new guidance to the team; Provide technical assistance to team members; Provides training for new staff; Monitor program areas being supported by GDIT staff; Serves as primary point of contact for stakeholder questions, requests, or concerns; Acts as mentor and provides training and technical assistance to GDIT contract staff members; Work within federal staff led functional lanes; Assist in the training of contractor and field staff

Communication Scope

written and verbal communication skills; written communication skills; verbal communication skills

Process & Methodology

Project Management, Prior experience leading data projects and initiatives or data centric teams

Full Job Description

**_Type of Requisition:_** Regular _**Clearance Level Must Currently Possess:**_ None _**Clearance Level Must Be Able to Obtain:**_ None ** _Public Trust/Other Required:_** MBI (T2) _**Job Family:**_ Data Science and Data Engineering ** _Job Qualifications:_** **Skills:** Data Analytics, Data Science, Project Management, Quality Assurance (QA) **Certifications:** None **Experience:** 8 + years of related experience **US Citizenship Required:** No _**Job Description:**_ ### GDIT is hiring a Program/Data Analyst - Supervisor to support the data collection and analysis efforts involved with overseeing the implementation of a government program with respect to the care and placement of participants in a network of care providers. The Data Analyst will enhance and develop reporting and analytics capabilities, support forecast modeling, develop automated reporting solutions and dashboards, build briefing products, conduct and deliver analyses, and coordinate/implement data collection efforts. ### ### ** _Position Duties:_** ### Supervisory tasks include: * ### Performance Management and onboarding: * ### Monitor and support the progress of individual team members on an ongoing basis to ensure that the team is supported and meeting the customer’s delivery requirements. * ### Provide updates and new guidance to the team as needed per DAIM requirements * ### Provide technical assistance to team members as needed. * ### Provides training for new staff on all elements of DAIM and GDIT processes. * ### Monitor program areas being supported by GDIT staff and provide suggestions on process improvement when applicable. * ### Provides oversight of the quality of work and deliverables. * ### Monitor staff performance, providing additional training and feedback as needed. * ### Complete Performance Improvement Plans (PIPs) as necessary. * ### Complete annual performance evaluations and monitor staff’s progress towards annual goals. * ### Review monthly reports; Approve and submit con

Free ATS check

Applying for this Program/Data Analyst - Supervisor role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about GDIT?

Real rants from real employees. Read before you apply.

Read Company Rants →