<p>We are looking for an Data Analysis Manager to support a economic consulting team with data-driven research and client-focused analysis in Washington, District of Columbia. This position is ideal for an early-career candidate with strong quantitative skills who enjoys working with large public datasets and translating findings into clear, useful insights. The role offers the opportunity to contribute to reports, presentations, and policy-related research in a collaborative environment with economists and consulting staff.</p><p><br></p><p>Responsibilities:</p><p>• Gather information from publicly available databases, prepare datasets for use, and perform detailed quantitative analysis to support consulting engagements.</p><p>• Develop accurate and timely materials for clients, ensuring project updates and final outputs are delivered in a clear and effective manner.</p><p>• Interpret data trends and economic findings to help inform client decisions related to policy matters and market developments.</p><p>• Produce written content such as research summaries, reports, thought leadership pieces, and other analytical documents.</p><p>• Communicate project progress and findings to clients through calls, virtual presentations, and in-person discussions when needed.</p><p>• Partner with senior economists and other team members on research tasks, data requests, and day-to-day project coordination.</p><p>• Create charts, tables, and presentation materials that communicate complex information in an accessible format using Excel and PowerPoint.</p><p><br></p><p>All interested candidates in the Data Analysis Manager<strong> </strong>opportunity and other full time opportunities in the Washington, D.C. area please send your resume to Justin Decker via LinkedIn </p>
We are looking for a Data Engineer to join a team building dependable, scalable data solutions in Arlington, Virginia. This role focuses on designing modern data pipelines, improving the reliability of data platforms, and supporting analytics and operational needs across the business. The ideal candidate brings strong engineering depth, experience with cloud-based data ecosystems, and the ability to work closely with cross-functional partners to deliver high-quality data products.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines and processing workflows that support reliable access to business-critical data.<br>• Develop reusable data platforms and automation solutions that improve the efficiency, consistency, and performance of data operations.<br>• Produce clear, maintainable, and well-documented code for data integration, transformation, and platform services.<br>• Establish automated validation and testing practices to monitor accuracy, completeness, and overall data quality.<br>• Partner with architects, product leaders, data scientists, and DevOps teams to deliver resilient data systems aligned with technical and business goals.<br>• Assess new data sources, determine their value and fit, and implement effective ingestion approaches.<br>• Deploy and integrate data management capabilities within enterprise or client environments while meeting operational requirements.<br>• Strengthen data protection and continuity by identifying risks, supporting backup strategies, and contributing to recovery planning.<br>• Build and support data storage solutions such as warehouses, lakes, and operational repositories for reporting and advanced analytics.