Supports data collection, statistical analysis, interpretation, visualization, and reporting for a government program serving care-provider networks. Develops data collection tools, identifies performance indicators, ensures analytical report quality, presents findings to leadership, provides ad hoc reporting, trains staff, and contributes to data repositories and databases. Uses platforms such as Tableau or Power BI, scripting languages, SQL, Excel, and VBA. The role is remote, may require future government-site work, and requires an existing or obtainable Public Trust.
Type of Requisition:
RegularClearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
NonePublic Trust/Other Required:
MBI (T2)Job Family:
Data Science and Data EngineeringJob Qualifications:
Skills:
Data Analytics, Predictive Modeling, Project Management, Qualitative Data Analysis, Statistical AnalysisCertifications:
NoneExperience:
5 + years of related experienceUS Citizenship Required:
NoJob Description:
The Data Analyst Senior supports the data collection and analysis efforts for monitoring the implementation of a government program with respect to the care and placement of participants in a network of grant funded care provider programs. Position Duties:- Work with contractor and federal staff 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 for analysis
- Conduct high-level data interpretation and 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
- Provide ad-hoc data reporting as needed
- Oversee the quality and the production of analytical reports
- Help train contractor and field staff on the use of data collection and analysis tools
- Assist with projects that support the continual improvement of data analysis
- Compile, analyze, and visualize data using a data visualization platform such as Power BI or Tableau
- Help build data repositories and databases
- Bachelor’s degree with at least 5 years of experience with quantitative and qualitative data interpretation and analysis. 3 years with a Master’s degree.
- Working knowledge of data visualization platforms (Tableau or Power BI) and scripting languages (R, Python).
- Working knowledge of SQL and familiarity with relational databases.
- Advanced skills in Excel and VBA.
- Exceptional analytical skills.
- Strong attention to detail.
- Strong written and verbal communication skills.
- Experience working with immigrants, refugees, and underserved populations is preferred.
- Natural Language Processing
- Quantitative and Qualitative Data Analysis
- Data Engineering and experience working with large data sets; performing tasks such as data cleaning and processing (ETL)
- SQL, Python, and/or R
- Tableau
- Palantir
- Linux and ability to maintain a Linux server
- 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.
Scheduled Weekly Hours:
40Travel Required:
Less than 10%Telecommuting Options:
RemoteWork Location:
Any Location / RemoteAdditional Work Locations:
Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
Our Identity Verification Process:
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.About Our Work:
We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected VeteransSimilar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads reporting and analytics delivery, including dashboards, scorecards, KPI frameworks, ad hoc analysis, and executive reporting. Translates business requirements into scalable solutions, supports data governance and quality initiatives, maintains documentation, and identifies automation opportunities. Partners with cross-functional stakeholders to resolve data issues, improve reporting processes, generate actionable insights, and support data-driven decisions.
Top Skills:
AgileAzure Data PlatformDatabricksPower BIScrumSnowflakeSQLTableau
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develop enterprise reports, dashboards, scorecards, and self-service analytics using Power BI and related BI platforms. Analyze and transform data in Snowflake and cloud environments, build ETL/ELT workflows with dbt, Alteryx, or Databricks, and ensure data quality and governance. Partner with stakeholders to translate business needs into scalable reporting solutions, identify actionable insights, improve pipelines and performance, evaluate AI-driven analytics, and mentor junior analysts.
Top Skills:
Ai-Driven AnalyticsAlteryxBusinessobjectsCloud Analytics ArchitecturesData ModelingData WarehousingDatabricksDbtEltETLInformaticaMicrostrategyPower BISnowflakeSQLTableau
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Provides data analytics consulting for enterprise clients using Dynatrace observability, digital experience monitoring, and business analytics data. Manages client relationships, performs ad hoc analysis, creates reports and dashboards, presents findings to technical and executive audiences, configures tools, trains users, and influences product improvements. The role translates complex performance and engagement data into strategies that improve digital experiences and business outcomes.
Top Skills:
Adobe AnalyticsAdvanced ExcelAi ToolsAppdynamicsBlue TriangleBusiness AnalyticsCatchpointCloudContent Delivery NetworksCSSDatadogDigital Experience MonitoringDynatraceFullstoryGlassboxGoogle AnalyticsGraphQLHTMLJavaScriptMqlNetworkingNew RelicQuantum MetricRReal User MonitoringSession ReplaySparqlSplSpssSQLTableau
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering


