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We are seeking an experienced Part-Time Data Analyst to support a federal agency in developing, maintaining, and enhancing enterprise data analytics, reporting, and business intelligence solutions. The ideal candidate will possess strong technical expertise in data analysis, data engineering, visualization, and cloud-based analytics platforms while effectively collaborating with business stakeholders and technical teams to deliver actionable insights and innovative solutions.  This role with be 10-20 hours/week and require occasional on-site meetings.
This role requires a highly skilled professional who can translate complex business requirements into technical solutions, develop advanced analytics products, and support enterprise data initiatives utilizing modern cloud and business intelligence technologies.
Key Responsibilities

• Design, develop, and maintain data analytics solutions, dashboards, reports, and visualizations using industry-standard tools and technologies.
• Utilize programming languages including SQL, Python, R, and JavaScript to develop datasets, automate processes, and support analytical initiatives.
• Develop and maintain business intelligence solutions using Microsoft Power Platform technologies, including Power BI, Power Apps, and Power Automate.
• Create and maintain DAX and Power Query (M) code for data transformation, modeling, and reporting.
• Collaborate with agency stakeholders to identify business and technical requirements and translate them into technical designs and implementation plans.
• Engineer data solutions through prototyping, proof-of-concept development, testing, and full production implementation.
• Analyze and support Extraction, Transformation, and Load (ETL) processes and data integration strategies.
• Support cloud-based analytics environments utilizing AWS or Azure services, including Databricks, Data Factory, and Data Lake technologies.
• Serve as a liaison between business users, database administrators, and IT support teams to facilitate effective communication and solution delivery.
• Troubleshoot and support existing applications, reports, dashboards, and data environments.
• Review, analyze, modify, test, debug, and document existing code, reports, and analytical products.
• Evaluate and document data security, continuity of operations, and compliance requirements for analytical systems.
• Ensure compatibility between software, hardware, and data environments while supporting system design reviews and technical briefings.
• Develop comprehensive technical documentation, including requirements, methodologies, data sources, business rules, and deployment procedures.
• Provide guidance and mentoring to team members regarding data quality, data access, storage, analytics tools, and best practices.
• Assist with training initiatives, workshops, and presentations for both technical and non-technical audiences.
• Support data governance, data warehousing, relational database management, and data quality initiatives.
• Ensure adherence to software development lifecycle (SDLC) processes, quality standards, and security guidelines.

Required Qualifications

• US Citizenship Required
• Bachelor's degree in Computer Science, Information Technology, Data Analytics, Data Science, or a related technical field.
• Minimum of 7 years of experience developing solutions using SQL, Python, R, JavaScript, or comparable programming languages.
• Minimum of 3 years of experience working with Microsoft Power Platform technologies, including Power BI, Power Apps, and Power Automate.
• Minimum of 1 year of experience working with cloud analytics services such as AWS or Azure, including Databricks, Data Factory, and Data Lake solutions.
• Demonstrated experience developing analytical models, dashboards, reports, and business intelligence solutions that drive measurable business outcomes.
• Advanced proficiency in SQL and relational database technologies.
• Strong experience with ETL development, data integration, and data transformation methodologies.
• Expertise in DAX, Power Query (M), and business intelligence reporting frameworks.
• Experience with data warehousing, data governance, data quality, and data management best practices.
• Knowledge of ODBC connection strings and external data source connectivity protocols.
• Experience working with both structured and unstructured data sources.
• Familiarity with cloud-based analytics and data engineering platforms.
• Strong understanding of software development lifecycle methodologies and quality assurance processes.

The Midtown Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are a small, woman-owned business certified by the Women’s Business Enterprise National Council (WBENC). Operating from our headquarters in Washington, DC, we provide trusted staffing services nationwide. Our clients include thousands of the most prestigious Fortune 500 companies, law firms, financial organizations, tech innovators, non-profits, and lobbying firms, as well as federal, state and local government agencies.