Sellers & Associates LLC seeking a versatile and detail-oriented Data Management Analyst to join our team in Washington, D.C., or Plant City, F.L.
This full-time position supports software engineering and IT services with efforts across data analytics, and data engineering. The role will focus on building data dashboards, conducting statistical analysis, implementing data pipelines, and integrating disparate data sources to support analytics and reporting for federal agencies. The ideal candidate will have hands-on experience with Power BI, Dataverse, and other low-code or COTS technologies in a government environment, along with an interest in growing into more advanced data engineering and integration responsibilities over time.
Experience Level:ENTRY/MID (2-4 years experience)
Location: Washington, DC or Plant City, FL
Travel Allocation: 0-10%
Clearance: Secret
Duties & Responsibilities
- Collaborate with customers and stakeholders to refine user needs and translate them into structured data requirements, reporting logic, and data relationships that support analytics and data-centric solutions.
- Analyze diverse datasets and apply statistical and analytical methodologies to derive insights that address customer problems.
- Own end-to-end data workflows including data collection, ingestion, cleaning, transformation, and visualization.
- Design, develop, and deploy dashboards and data visualizations that support reporting and decision-making.
- Build and maintain data models, reporting structures, and data relationships that support analytics, reporting, and data integration.
- Clean, validate, and transform data to ensure quality and usability across downstream analytical solutions.
- Support data ingestion, transformation, and automation workflows across multiple systems and repositories.
- Write clear, maintainable, and well-documented queries, scripts, and configurations with a focus on quality and maintainability.
- Troubleshoot data quality, reporting, and Dataverse-related issues and coordinate with senior team members on more complex platform or integration constraints.
- Partner with cross-functional teams to support secure, functional, and intuitive data solutions
Requirements:
- Active Secret clearance required
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field is preferred. A minimum of 6 years of total relevant professional experience may be substituted in lieu of a degree.
- 2-4 years of experience with data cleaning, analysis, and visualization or related technical support functions. Strong internship or project experience may also be considered.
- Experience applying analytical and statistical techniques to derive insights and support customer reporting needs.
- Experience integrating disparate data sources into unified datasets.
- Experience performing data profiling and analysis to identify data quality issues, gaps, and risks, and driving mitigation strategies.
- Experience building data pipelines that transform, clean, and load datasets from dispersed systems into centralized repositories and applications.
- Experience ensuring data integrity and accuracy and dedication to adhering to security and confidentiality protocols.
- Experience using SQL and relational databases, including experience writing and troubleshooting queries in systems such as SQL Server, PostgreSQL, or MySQL.
- Experience working with Power BI and Dataverse, including data modeling, DAX, Power Query, data relationships, and dataflows within Microsoft Power Platform environments.
- Familiarity with Git for version control and collaboration.
- Attention to detail, excellent problem-solving skills, and commitment to delivering high-quality solutions.
- Basic scripting or programming experience using Python, PowerShell, C#, or similar languages for automation or data processing tasks.
- Familiarity with technical documentation best practices and writing architecture diagrams, configuration guides, and training materials.
- Understanding of Agile development methodologies and collaborative team-based workflows.
Preferred:
- Exposure to Azure services such as Azure SQL, Azure Data Factory, Azure Functions, or Data Lake concepts.
- Exposure to RESTful APIs, third-party service integration, and data flow orchestration.
- Previous experience working on government contracts or secure software environments.
- Experience using Jira or similar tools to support Agile software development projects.
- Agile certifications such as Certified ScrumMaster (CSM), Professional Scrum Master (PSM I/II), SAFe Scrum Master (SSM), or PMI Agile Certified Practitioner (PMI-ACP) are a plus.
- Familiarity with Naval Sea Systems Command (NAVSEA) or U.S. Navy environments.
- Relevant industry certifications such as CompTIA Security+, Microsoft Power Platform Fundamentals, Microsoft Azure Fundamentals, Power BI Data Analyst Associate, or AWS Cloud Practitioner are a plus.
- Familiarity with secure or regulated IT environments and basic cybersecurity or access control concepts, including Risk Management Framework (RMF).
Sellers & Associates LLC (S&A) is a Veteran Owned Small Business (VOSB) that provides effective and affordable Programmatic and Engineering Support Services and Solutions for our Government and Commercial Clients. We work directly with our clients taking the time to understand their culture and requirements, designing a custom solution tailored to meet their unique needs at an affordable price without sacrificing quality. Our specialties include Program/Engineering Management, Training/Training Technology, Technology/Product Development Strategy and Analysis, Project Management (Cost, Schedule, Scope & Quality), and Strategic Planning applied within our clients’ unique domains and context.
Sellers and Associates, LLC is an E-Verify company and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.
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