Data Management Analyst

Role Overview

• Analyze existing foreign assistance datasets (i.e. GLAAS, ASIST, etc.) for historical trends, gaps analysis and strategic alignment.
• Translate the results of analysis into clear, actionable communications that equip State Department decision makers to make informed, data-driven decisions.
• Interact with internal customers and colleagues to understand business processes, gather requirements, develop analysis methodologies, and coordinate ongoing iterative development of data products and analytic processes.
• Serve as a recognized expert and technical authority on analytical, statistical, and programming techniques necessary to collect, organize, analyze, and interpret unique and highly specialized data sets.
• Use statistical tools such as mathematics, statistics, performance measurement, and advanced analytics such as artificial intelligence, machine learning and natural language processing for cloud computing and analyzing data sets.
• Code with languages such as Python or R and use SQL and other data processing and analytics tools and software to analyze data sets.
• Use data visualization tools such as MS Power BI, Tableau, MS Excel, ArcGIS, and others to generate reports and develop compelling stories that convey statistical or technical information to non-technical audiences.
• Develop usage and access control policies and systems in collaboration with relevant staff and stakeholders in continuous improvement processes impacting data quality, performance enhancements, and overall user experience.
• Support AF/A knowledge management efforts to capture, organize, and share a comprehensive understanding of U.S. foreign assistance in sub-Saharan Africa.

Requirements

• Active Secret Security Clearance.
• Master’s Degree and one (1) year of relevant professional experience; or Bachelor’s Degree and three (3) years of relevant professional experience; or High School Diploma or equivalent and seven (7) years of relevant professional experience.
• At least three (3) years of experience in study design, collaborating with colleagues, customers, and stakeholders in identifying the appropriate data, methodological approaches, and designed to meet organizational objectives.
• At least three (3) years of experience in data analysis using software and/or programming languages such as R, Python, SQL, or SAS to explore/group data, test hypotheses, predict outcomes, and inform decisions.
• At least three (3) years of experience in deriving meaning from quantitate and/or qualitative data (i.e. datasets that may be large, disparate, unstructured, and/or complex).
• At least three (3) years of experience in communication and data visualization, translating complex concepts, findings, limitations, and recommendations of improvements into easy-to-understand products, closely tying findings to the original problem statement, to both experts and nontechnical audiences.
• Demonstrated proficiency with Microsoft Office, including Excel and PowerBI and related data processing systems.

Tech Stack

• Cloud
• Python
• SQL
• Tableau

Benefits

• N/A