Data Analyst

The Data Analyst 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 program. Duties include:

• 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.

Qualifications:

• 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 analytic skills.
• Strong attention to detail.
• Strong written and verbal communication skills.
• Experience working with immigrants, refugees, and underserved populations is preferred.

Knowledge and experience in one or more of the below specialty areas 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
• Python and/or R
• Tableau
• Palantir
• Linux and ability to maintain a Linux server

This position will be remote but may require working from an office at later time. A Washington, DC location is preferred but not required. Position requires a Public Trust (or the ability to obtain one).

Work Requirements