Data Analyst Associate

GDIT is a global technology and professional services company that delivers technology solutions and mission services to U.S. government, defense, and intelligence organizations. The Data Analyst Associate will support data collection and analysis for monitoring a government program, developing reporting and analytics capabilities, forecast models, automated reporting solutions, dashboards, and briefing products.

Responsibilities:

• Work with domain experts and data analysts to develop reporting products
• Prototype data products and conduct analysis and feasibility based on program requirements
• Build connections, develop reports, and publish data to the development and production environments
• Generate documentation and create presentations
• Support data collection, analysis, and visualization projects as needed; including data modeling, database creation, and technical support
• Conduct high-level data interpretation and statistical 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
• Work with contractor and federal stakeholders to enhance the collection and analysis of program data
• Assist in identifying performance outcomes and indicators
• Assist in the training of contractor and field staff on the use of data collection and analysis tools
• Support ad-hoc data reporting as needed

Requirements:

• Analytical Thinking, Data Analytics, Data Reporting, Relational Database
• 1 + years of related experience
• None
• Bachelor's degree in a related field, with 1+ years of relevant experience
• Working knowledge of data visualization platforms (Tableau) and scripting languages (Python, R)
• Working knowledge of SQL and familiarity with relational databases
• Exceptional analytical skills
• Strong written and verbal communication skills as well as strong attention to detail
• This position requires an existing Public Trust or the ability to obtain one
• 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)
• SQL, Python, and/or R
• Tableau
• Palantir
• Data entry
• Experience working with immigrants, refugees, and underserved populations is preferred