<p>We are looking for a Data Analyst to support the creation, maintenance, and analysis of custom-formatted data reports that drive business decisions and operational improvements. This role will be responsible for transforming project requirements into actionable reporting solutions, managing the complete data lifecycle, and providing meaningful insights to Project Managers and stakeholders.</p><p>The ideal candidate will have experience working with large and complex datasets, strong SQL skills, excellent analytical abilities, and prior experience within the banking or financial services industry. This role requires a detail-oriented professional who can evaluate business processes, identify opportunities for improvement, and recommend data-driven solutions.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Translate business and project requirements into customized data reports and dashboards.</p><p>· Manage the end-to-end data generation lifecycle, including data extraction, validation, transformation, reporting, and documentation.</p><p>· Analyze business processes and identify data-driven opportunities to improve efficiency, accuracy, and decision-making.</p><p>· Develop, create, and maintain SQL queries to extract, manipulate, and analyze large datasets.</p><p>· Perform data audits to ensure completeness, consistency, and accuracy across multiple data sources.</p><p>· Identify data anomalies, gaps, quality issues, and reporting discrepancies and coordinate resolution efforts with stakeholders.</p><p>· Provide critical insights and reporting summaries to Project Managers and business leaders.</p><p>· Support data quality initiatives through systematic review processes and implementation of data controls.</p><p>· Analyze trends, metrics, and operational performance indicators to support strategic business decisions.</p><p>· Maintain thorough process documentation, reporting standards, and data governance practices.</p><p>· Collaborate with cross-functional teams to validate business requirements and reporting outputs.</p>
<p>Data Automation Engineer – AI / AWS / Azure</p><p>Work Arrangement: Remote</p><p>Clearance Requirement: Ability to obtain Public Trust</p><p><br></p><p>Position Overview</p><p>We are seeking a highly skilled Data Automation Engineer to design and implement advanced, AI-driven automation solutions across hybrid AWS and Azure environments. This role is focused on building scalable data pipelines, integrating modern cloud services, and leveraging Generative AI technologies to enhance enterprise analytics and operational workflows.</p><p>The ideal candidate is a hands-on engineer with strong expertise in data engineering, cloud platforms, and automation, combined with the ability to innovate and solve complex technical challenges. This role provides the opportunity to work on mission-critical systems, supporting large-scale data processing, reporting, and AI-enabled applications.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering & Pipeline Development</p><ul><li>Design, build, and maintain scalable data pipelines using AWS services (S3, Glue, Lambda, EMR, DynamoDB)</li><li>Develop and optimize ETL/ELT workflows across hybrid AWS and Azure environments</li><li>Integrate structured, unstructured, and streaming data across enterprise systems</li></ul><p>AI & Automation Engineering</p><ul><li>Leverage Generative AI frameworks (AWS Bedrock, Azure OpenAI, LangChain, Hugging Face) to build intelligent automation</li><li>Implement solutions for embeddings, vector generation, and RAG workflows</li><li>Develop AI-driven tools for data quality, anomaly detection, and pipeline optimization</li><li>Build AI-powered copilots for monitoring, troubleshooting, and workflow automation</li></ul><p>Data Platform Integration & Optimization</p><ul><li>Engineer real-time and batch ingestion pipelines using Spark, Kafka, and Flume</li><li>Integrate enterprise platforms and CRM data into data pipelines for analytics and reporting</li><li>Optimize SQL performance through stored procedures, indexing, and query tuning</li></ul><p>Cloud & DevOps Practices</p><ul><li>Implement CI/CD pipelines using tools such as GitHub, Jenkins, or Azure DevOps</li><li>Develop infrastructure solutions using Infrastructure-as-Code (IaC)</li><li>Ensure cloud security through IAM, RBAC, encryption, and network isolation</li></ul><p>Collaboration & Delivery</p><ul><li>Partner with cross-functional teams to gather requirements and deliver solutions</li><li>Support Agile delivery processes and continuous improvement initiatives</li><li>Provide technical troubleshooting and performance optimization across data systems</li></ul>
<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 an experienced Power BI Developer to join our team in Bethesda, Maryland. This role focuses on creating data-driven insights and designing intuitive dashboards to improve decision-making processes. The ideal candidate will have a strong technical background and an eye for design, ensuring that analytics solutions are both functional and user-friendly.<br><br>Responsibilities:<br>• Build and optimize Power BI dashboards and reports to support data-driven decision-making.<br>• Develop and maintain Python scripts to clean, transform, and reshape datasets for analysis.<br>• Utilize Microsoft Fabric or Azure Data tools to manage and analyze data within cloud environments.<br>• Write and refine queries to efficiently extract data from cloud-based systems.<br>• Apply design principles, including layout and color theory, to create visually appealing and user-friendly dashboards.<br>• Conduct fraud analysis using data analytics tools to identify and mitigate suspicious activities.<br>• Collaborate with stakeholders to gather requirements and deliver tailored data solutions.<br>• Ensure data integrity through validation processes and thorough analysis.<br>• Investigate potential fraud cases by leveraging analytics and reporting tools.<br>• Support ongoing improvements to data workflows and analytics frameworks.