Data Analyst Associate

GDIT is hiring an associate level data analyst to support 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 care providers.

The Data Analyst Associate will enhance and develop reporting and analytics capabilities, support forecast modeling, develop automated reporting solutions and dashboards, build briefing products, conduct and deliver analysis, and coordinate/implement data collection efforts.

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:

• 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.
• Experience working with immigrants, refugees, and underserved populations is preferred.

Top candidates will have specialty skills in one or more of the following areas:

• 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

Benefits:

• Medical plan options
• Dental plan options
• Vision plan
• 401(k) plan
• Paid time off plans
• Paid parental, military, bereavement and jury duty leave
• Short and long-term disability benefits
• Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance