Senior Technical Lead, Data Analytics
Role Overview
The Senior Technical Lead, Data Analytics is a hands-on technical leader who develops analytics solutions and guides analysts and data scientists.
The role focuses on enterprise-scale analytics, visualization, and AI-driven solutions using Tableau, SAS, Python, and AI/ML.
Work is primarily remote, with some onsite work in Washington, DC, as required.
Key Skills for This Role
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About Onyx
Onyx Government Services is an SDVOSB providing data management, integration, and analysis solutions for decision support and command-and-control systems.
The company works with Department of Defense, intelligence community, and law enforcement agencies and delivers database and COTS integration and custom software solutions.
Role overview
The Senior Technical Lead, Data Analytics is a hands-on technical leader who develops analytics solutions and guides analysts and data scientists.
The role focuses on enterprise-scale analytics, visualization, and AI-driven solutions using Tableau, SAS, Python, and AI/ML.
Work is primarily remote, with some onsite work in Washington, DC, as required.
Responsibilities
- Lead design, development, and deployment of enterprise analytics solutions for business decisions.
- Develop dashboards, analytics models, data solutions, and interactive Tableau reporting.
- Perform advanced analysis, statistical modeling, and data processing with SAS and Python.
- Develop AI/ML models for predictive analytics, forecasting, and business optimization.
- Build and optimize Python scripts and workflows for transformation, automation, and model development.
- Collaborate with stakeholders, product teams, and data engineers to create scalable analytics solutions.
- Review code and mentor analysts and data scientists.
- Ensure data quality, governance, and sound development and reporting practices.
- Design and optimize data models, queries, and datasets for analytics and visualization.
- Present findings and recommendations to technical and non-technical stakeholders.
Required qualifications
- Must currently possess an 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 analytics, data science, or business intelligence experience.
- 2–4 years of technical leadership experience in analytics or data science teams.
- Hands-on expertise with Tableau, SAS, and Python for analytics, visualization, processing, automation, and machine learning.
- Experience building AI/ML models for real-world business applications.
- Strong SQL and data warehousing knowledge, with experience in enterprise datasets and complex analytics environments.
- Matrix-team experience and the ability to communicate and present complex insights to technical and non-technical audiences.
- Strong innovation, interpersonal, and communication skills.
Preferred qualifications
- Experience with cloud data platforms such as AWS, Azure, or GCP.
- Familiarity with data engineering pipelines and ETL frameworks.
- Experience integrating AI solutions into enterprise analytics platforms.
- Exposure to Agile development environments.
Compensation
- Estimated salary range is $140,000–$155,000 per year.
- Actual compensation depends on qualifications, experience, education, skills, contract requirements, funding, and other business considerations.
Benefits
- Eligible employees have access to a comprehensive benefits package, including dental insurance. The source description is truncated before the benefits list is complete.
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