Data Analyst and Visualization Specialist

DevTech Systems, Inc.•Washington, DC

1d•Hybrid

About The Position

DevTech Systems, Inc. (DevTech) is a global advisory firm specializing in evidence-based policy, data and information systems. For more than 40 years, DevTech has helped governments, international organizations and private businesses extract value from data and information in support of decision making. At DevTech, we are deeply committed to work that drives positive change. We value diverse perspectives and foster an inclusive environment where employees are empowered to work autonomously while receiving the professional support they need to learn, grow, and thrive. DevTech seeks a Data Analyst and Visualization Specialist to work as an institutional contractor on its Analytics, Data, Visualization, and Information Services 2.0 (ADVISE 2.0) contract with the United States Department of State. The Data Analyst and Visualization Specialist will work with the Foreign Assistance Oversight (FAO) Bureau’s Data and AI team in support of the Department of State foreign assistance activities. We are seeking a resourceful data professional who can organize, analyze, visualize and present data and information in a clear, reliable and informative way in support of client decision-making. The candidate should also be familiar with automation and AI tools that can help improve efficiency and productivity in data and information analysis and visualization. The ideal candidate combines technical expertise and strong analytical skills with intellectual curiosity and finds the opportunity to use data to support Foreign Assistance exciting.

Requirements

Bachelor’s degree in Data Science, Computer Science, Economics, Statistics, Information Systems, or a related field.
Experience with exploratory data analysis, statistical analysis and dashboarding
Strong experience with Tableau or PowerBI
Solid knowledge of Python or R
Experience with automation and AI tools and their judicious application for increasing efficiency and productivity
Strong analytical thinking, problem-solving skills, and intellectual curiosity
Ability to explain complex concepts to diverse stakeholders
A team player but able to work independently
Multi-tasking and time-management skills, with the ability to prioritize tasks
Excellent interpersonal skills
U.S. citizenship

Nice To Haves

Master’s degree or equivalent experience preferred
Familiarity with data engineering approaches, including management of pipelines, ETL/ELT, SQL and cloud tools preferred
Familiarity with cloud environments and platforms (e.g. Azure, Databricks) preferred

Responsibilities

Explore and analyze complex operational, financial and programmatic datasets to identify patterns, anomalies and trends
Query databases and ensure data quality through validation, verification, and standardization processes across multiple data sources
Visualize data using Tableau, PowerBI and other applications in clear, accurate and appealing presentations for client understanding
Make use of automation and AI tools to improve efficiency and productivity, and assist clients in doing the same
Produce actionable insights that inform policy, resource allocation, and program design
Support predictive analytics or light machine-learning workflows where appropriate
Communicate analytical findings clearly to technical and non-technical audiences
Serve as a subject-matter resource for data best practices, including how to access, interpret, and apply available datasets
Work closely with clients to understand their data needs and translate them into analytical or technical solutions
Provide training, informal guidance, and practical tools to staff who rely on data for decision-making
Demonstrate flexibility by taking on adjacent responsibilities as needed in a small, fast moving team environment to ensure project goals are met
Engage in continuous learning about new data technologies and their potential application for clients at the Department of State
In compliance with the Department of State and contractor policies and procedures, consistently model behaviors that demonstrate a commitment to fostering a non-hostile work environment free of discrimination, bias, unfairness, exclusion, offensive behaviors, and harassment of any kind.