Senior Technical Lead, Data Analytics (Tableau, SAS, Python)

Company Description

Onyx Government Services, LLC. is a Service-Disabled Veteran-Owned Small Business (SDVOSB), headquartered in Fairfax, Virginia. We specialize in data management, integration, and analysis solutions to provide decision-ready information to Command and Control (C2) and Decision Support Systems. We have demonstrated expertise in the field of Information Technology, database & COTS integration, and custom software development. Onyx pairs subject matter and functional experts with developers to provide high quality, tailored solutions. In support of our various efforts, we have developed the Onyx Data Management Toolkit, a combination of Agile Development principles, COTS Integration, and custom software, to deliver flexible, cost-effective solutions to a variety of Department of Defense, Intelligence Community, and Law Enforcement agencies.

Job Description

Onyx Government Service is seeking a Senior Technical Lead, Data Analytics. This candidate is a hands-on expert in data analytics, visualization, and AI-driven solutions. This role requires a strong technical leader who actively contributes to development while guiding a team of analysts and data scientists.

The ideal candidate will have deep experience in Tableau, SAS, Python, and Artificial Intelligence / Machine Learning, and will play a key role in designing and delivering enterprise-scale analytics solutions. This is a working lead role, requiring both technical execution and team leadership.

The ideal candidate will have an active BI or NACLC Public Trust security clearance, be a confident leader experienced in performing day-to-day tasks, a critical thinker and self-starter who takes ownership of assignments.

Previous consulting experience using an agile delivery methodology is a plus.

Key Responsibilities: Lead the design, development, and deployment of enterprise analytics solutions to support strategic business decision-making.

• Serve as a hands-on technical lead, actively developing dashboards, analytics models, and data solutions.
• Build and maintain interactive dashboards and reporting solutions using Tableau to deliver actionable insights.
• Perform advanced data analysis, statistical modeling, and data processing using SAS and Python.
• Develop and implement AI and machine learning models for predictive analytics, forecasting, and business optimization.
• Write and optimize Python scripts and analytics workflows for data transformation, automation, and model development.
• Collaborate with business stakeholders, product teams, and data engineers to translate business requirements into scalable analytics solutions.
• Conduct code reviews and provide technical mentorship to analysts and data scientists.
• Ensure data quality, governance, and best practices in analytics development and reporting.
• Design and optimize data models, queries, and datasets to support high-performance analytics and visualization.
• Communicate complex analytical findings and recommendations to technical and non-technical stakeholders.

NOTE: This is a 1099 contractor position expected to convert to full time W2.

Requirements :

Security Clearance: Must CURRENTLY possess active BI or NACLC Public Trust clearance

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.
• 8+ years of hands-on experience in analytics, data science, or business intelligence.
• 2–4 years of technical leadership experience in analytics or data science teams.

• Strong hands-on expertise in :
  • Tableau – dashboard development and enterprise visualization
  • SAS – statistical analysis and large-scale data processing
  • Python – data analysis, automation, and machine learning
• Experience building AI / Machine Learning models for real-world business applications.
• Strong SQL and data warehousing knowledge.
• Experience working with large enterprise datasets and complex analytics environments.
• Experience in a matrix structure and communicating with technical and non-technical people. Ability to develop and deliver presentations that simplify complex solutions/insights for non-technical audience a must
• Excellent innovation, interpersonal, and communication skills required.

Preferred Qualifications:

• Experience with cloud data platforms (AWS, Azure, or GCP).
• Familiarity with data engineering pipelines and ETL frameworks.
• Experience in integrating AI solutions into enterprise analytics platforms.
• Exposure to Agile development environments.

Key Skills:

• Advanced Analytics & Data Science
• AI / Machine Learning Development
• Tableau Dashboard Engineering
• Statistical Modeling (SAS)
• Python Programming for Data Science
• Enterprise Data Architecture
• Technical Leadership & Mentoring
• Data Visualization & Storytelling