Data Analyst - AI/ML & Analytics

Onyx Government Services
United States
21 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$150,000.0 - $170,000.0
Working hours
Regular working hours

Tech stack

Microsoft Access Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Business Intelligence Development Cloud Computing Databases Data Auditing Extract Transform Load (ETL) Data Profiling Data Visualization Data Warehousing
+18 more
Relational Databases Database Queries Python (Programming Language) Machine Learning NumPy OnyX for Mac SAS (Software) SQL Databases Data Streaming Tableau (Software) Data Processing Large Language Models Prompt Engineering Generative AI Backend Pandas Scikit Learn Data Management

Job description

Onyx Government Service is seeking a Senior Data Analyst with AI/ ML, SAS, Tableau and Python experience to support Federal data management and Advanced Analytics projects. This individual will be responsible for creating reports and dashboards, querying databases, data quality assurance, and ETL support., * 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)

Requirements

The Senior Data Analyst will join our team as one of the senior SAS/ Tableau developers for a data-warehousing project to solve business intelligence challenges. The position requires deep technical expertise in SQL, BI tools, ETL, and data profiling.

Security Clearance: Must possess active BI or NACLC Public Trust security clearance (sponsorship not available)., * 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. Experience of Enterprise Guide and Enterprise Miner / SAS Data Mining procedures a plus.

  • 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.

Desired Experience/Qualifications:

  • 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.

Benefits & conditions

Eligible employees have access to a comprehensive benefits package, which currently includes:

  • Medical, dental, and vision insurance
  • 401(k) retirement plan
  • Paid time off (PTO)
  • Company-paid holidays
  • Short-term and long-term disability insurance
  • Life insurance, Invitation for Job Applicants to Self-Identify as a U.S. Veteran
  • A “disabled veteran” is one of the following:
  • a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or
  • a person who was discharged or released from active duty because of a service-connected disability.
  • A “recently separated veteran” means any veteran during the three-year period beginning on the date of such veteran’s discharge or release from active duty in the U.S. military, ground, naval, or air service.
  • An “active duty wartime or campaign badge veteran” means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
  • An “Armed forces service medal veteran” means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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