Senior Data Analyst – AI/ML & Analytics

Onyx Government Services is seeking a Senior Data Analyst to support Federal data management and advanced analytics projects. The role focuses on data extraction, quality assurance, reporting and dashboard development, ETL support, business intelligence, and collaboration on AI/ML and Generative AI initiatives using tools such as Tableau, SAS, SQL, and Python.

Responsibilities:

• Extract data from a variety of sources, such as relational database, EDW and Foundry for use in analysis
• Engage with operational business stakeholders to identify key initiatives and execute solutions to business problems using data analysis and advanced analytics
• Perform quality assurance of reporting and dashboard deliverables to ensure quality of both data and analysis
• Work collaboratively to align business requirements with data and analytical solutions while empowering business to draw insights and analyze data while Identify areas of concern of as-is processes and business dependencies
• Coordinating and facilitating requirement gathering, playing an active role in the discovery, analysis, value validation, design, and testing phases. Ideate with functional analysts and business process owners
• Monitors changes in business, making recommendations where analytics can further improve business
• Create Tableau related Standard Operating Procedures (SOP)
• Document development for peer reference and knowledge transfer
• Partner with data scientists, AI/ML engineers, data engineers, and business stakeholders on AI and machine learning initiatives
• Analyze and prepare data for AI/ML models and support model development, validation, and performance analysis
• Support Generative AI and LLM-related initiatives, including identifying business use cases and evaluating AI-generated outputs
• Apply Python libraries and tools such as Pandas, NumPy, and scikit-learn for data analysis and analytical modeling

Requirements:

• Bachelor's degree with 7 years of Business Intelligence development, or data processing/analytical experience or combination thereof
• At least 5 years of work experience in analytical role
• Extensive hands-on experience with Tableau, including Desktop, Tableau Server/Cloud, dashboard design and development, data visualization, reporting, and analytics
• Experience with SAS development, including the use of SAS/Macro, Data Step, and SAS/Access
• Strong SQL skills and Tableau development experience
• Strong conceptual, analytical, and decision-making skills
• Partner with data scientists, AI/ML engineers, data engineers, and business stakeholders on AI and machine learning initiatives
• Analyze and prepare data for AI/ML models and support model development, validation, and performance analysis
• Support Generative AI and LLM-related initiatives, including identifying business use cases and evaluating AI-generated outputs
• Apply Python libraries and tools such as Pandas, NumPy, and scikit-learn for data analysis and analytical modeling
• Must have good leadership, communication and writing skills. Ability to show the future and benefits of analytics activities to the client
• Security Clearance:  Must possess active BI or NACLC Public Trust security clearance (sponsorship not available)
• Experience of Enterprise Guide and Enterprise Miner / SAS Data Mining procedures a plus
• Extensive experience in Tableau dashboard design and development
• Quality assurance and validation experience, specifically comparing multiple data sources for discrepancies and inconsistencies
• Experience building or operating production systems that integrate generative AI/LLMs, beyond prototype or experimental work
• Strong understanding of AI output evaluation and quality assessment, not just system uptime
• Backend or full‑stack engineering skills to own the surrounding pipeline including data flow, APIs, and deployment
• Comfortable with prompt engineering and iterative model tuning as a continuous responsibility
• Ability to work independently, manage a backlog, and balance delivery speed with accuracy in high‑precision domains