Senior Technical Lead, Data Analytics

Data AnalystData AnalystFull TimeRemote

Location

United States

Posted

2 days ago

Salary

Not specified

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role 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
  • Artificial Intelligence / Machine Learning

They 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.

Qualifications

  • 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.

Requirements

  • Must CURRENTLY possess active BI or NACLC Public Trust clearance.

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

Job Requirements

  • 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.
  • Must CURRENTLY possess active BI or NACLC Public Trust clearance.
  • 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

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