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Data Analyst Ai Jobs in Silver Spring, MD (NOW HIRING)

AI/Data Analyst Senior

Washington, DC ยท On-site

$165K - $175K/yr

The Lead AI/Data Analyst will establish data standards, deploy automation tools to extract, synthesize, validate, and analyze data from multiple sources, and ensure the integrity and quality of ...

Data Analyst

Springfield, VA ยท On-site

$110K - $150K/yr

... AI/ML & Decision Analytics, Modeling and Simulation, and Future Force Assessments. SPA has an ... Data analysis competency with mathematical programming languages (i.e., MATLAB, Python, R, etc.) or ...

Data Analyst

Springfield, VA ยท On-site

$110K - $150K/yr

... AI/ML & Decision Analytics, Modeling and Simulation, and Future Force Assessments. SPA has an ... Data analysis competency with mathematical programming languages (i.e., MATLAB, Python, R, etc.) or ...

Where the Data Manager builds and sustains Mission Assurance data infrastructure, the Data Analyst ... This position uses Palantir AI capabilities to develop and apply advanced analytical techniques in ...

Tharros is seeking an experienced Data Analyst to translate Mission Assurance data into decision ... This position uses Palantir AI capabilities to develop and apply advanced analytical techniques in ...

Senior AI Data Analyst

VA ยท On-site

$125K - $150K/yr

The Senior AI Data Analyst serves as the lead analyst and on-site coordinator at the Pentagon, directing an off-site data team and delivering analytics, modeling, and simulation products that inform ...

As a Data Analyst, you will be working to identify internal/external databases to be connected ... Experience building AI agents and using AI to produce outcomes * Knowledge of data management and ...

As a Data Analyst, you will be working to identify internal/external databases to be connected ... Experience building AI agents and using AI to produce outcomes * Knowledge of data management and ...

The Systems, Data and Reporting team will help strengthen data governance, reporting quality, self-service analytics, process automation, and AI-enabled tools to improve decision-making and service ...

The Systems, Data and Reporting team will help strengthen data governance, reporting quality, self-service analytics, process automation, and AI-enabled tools to improve decision-making and service ...

Data Analyst

Washington, DC ยท On-site +1

As a Data Analyst, you will be working to identify internal/external databases to be connected ... Experience building AI agents and using AI to produce outcomes * Knowledge of data management and ...

Data Analyst

Springfield, VA ยท On-site

$110K - $150K/yr

... AI/ML & Decision Analytics, Modeling and Simulation, and Future Force Assessments. SPA has an ... Data analysis competency with mathematical programming languages (i.e., MATLAB, Python, R, etc.) or ...

Data Analyst

Springfield, VA ยท On-site

$110K - $150K/yr

... AI/ML & Decision Analytics, Modeling and Simulation, and Future Force Assessments. SPA has an ... Data analysis competency with mathematical programming languages (i.e., MATLAB, Python, R, etc.) or ...

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Data Analyst Ai information

See Silver Spring, MD salary details

$35.1K

$85.4K

$140.6K

How much do data analyst ai jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data analyst ai in Silver Spring, MD is $85,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $100,300.00 per year, depending on experience, location, and employer.

What is a data analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

How does a data analyst AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

What are the key skills and qualifications needed to thrive as a data analyst AI, and why are they important?

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

What is the difference between Data Analyst Ai vs Data Scientist?

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

How to become a data analyst AI?

To become a data analyst AI, you should develop skills in programming languages like Python or R, learn data manipulation and analysis techniques, and gain experience with machine learning tools and frameworks. Acquiring relevant certifications and understanding data visualization and database management can also enhance your qualifications.

What are popular job titles related to Data Analyst Ai jobs in Silver Spring, MD?

For Data Analyst Ai jobs in Silver Spring, MD, the most frequently searched job titles are:

What cities near Silver Spring, MD are hiring for Data Analyst Ai jobs?

Cities near Silver Spring, MD with the most Data Analyst Ai job openings:

Infographic showing various Data Analyst Ai job openings in Silver Spring, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $85,431 per year, or $41.1 per hour.

Senior Data Analyst - AI/ML & Analytics

Onyx Government Services,LLC

Chantilly, VA โ€ข Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


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. 
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).
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 

Required Experience/Qualifications: 
  • 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.
Salary Range: $150,000- $170,000 annually
The salary range for this position represents the anticipated compensation at the time of posting. Actual compensation will be determined based on factors such as the candidate's qualifications, experience, education, skills, contract requirements, funding and other business considerations.
Benefits
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

 

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