ZipRecruiter

Log In

1

Data Analyst Ai Jobs in Reston, VA (NOW HIRING)

SteerBridge

AI/Data Analyst Senior

Washington, DC · On-site

$102K - $122K/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 ...

Systems Planning and Analysis

Data Analyst

Springfield, VA · On-site

$110K - $150K/yr

... in AI/ML & Decision Analytics, Modeling and Simulation, and Future Force Assessments. #MC #FC SPA ... Responsibilities The Data Analyst will provide integral support in the areas of system modeling ...

Systems Planning and Analysis

Data Analyst

Springfield, VA · On-site

$110K - $150K/yr

... in AI/ML & Decision Analytics, Modeling and Simulation, and Future Force Assessments. #MC #FC SPA ... Responsibilities The Data Analyst will provide integral support in the areas of system modeling ...

Analygence

Data Analyst

Arlington, VA · On-site

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 ...

Analygence

Data Analyst

Arlington, VA · On-site

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 ...

The World Bank Group

Data Analyst

Washington, DC · On-site

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 ...

World Bank

Data Analyst

Washington, DC

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 ...

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · On-site

VAI is seeking a curious, analytical, and technology-focused Data, BI & AI Analyst to support the organization's growing use of data, business intelligence, and artificial intelligence. This is an ...

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · Hybrid

VAI is seeking a curious, analytical, and technology-focused Data, BI & AI Analyst to support the organization's growing use of data, business intelligence, and artificial intelligence. This is an ...

Kentro

Data Analyst (EO)

Washington, DC · On-site

$180K/yr

The analyst will provide advanced data analytics and predictive strategic workforce planning via on ... Identifies opportunities to leverage AI technologies to improve data discovery, automate business ...

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

AI, data, and analytics work you will support * Work with AI tools and workflows to support data-driven decision-making * Perform data mining and cleaning from multiple sources (web, internal ...

Guidehouse

Data Analyst

Arlington, VA · On-site

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 ...

Guidehouse

Data Analyst

Arlington, VA

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 ...

ResolveSoft Inc

Be Seen First

Data Analyst

Washington, DC · On-site

$65K - $85K/yr

Data Analyst Location: Onsite, Washington DC Position Summary The Data Analyst supports the Client ... AI Tools: GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS * 1+ years of experience supporting ...

New

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

AI, data, and analytics work you will support * Work with AI tools and workflows to support data-driven decision-making * Perform data mining and cleaning from multiple sources (web, internal ...

next page

Showing results 1-20

All JobsData Analyst Ai JobsData Analyst Ai Jobs in Reston, VA

Data Analyst Ai information

See Reston, VA salary details

$35.4K

$86K

$141.5K

How much do data analyst ai jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data analyst ai in Reston, VA is $85,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $100,900.00 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.

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.

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 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.

What does a data analyst do in AI?

A data analyst in AI collects, cleans, and analyzes large datasets to identify patterns and insights that improve machine learning models and AI systems. They often use tools like Python, R, or SQL and work closely with data scientists to support model development and validation.

Do data analysts work with AI?

Data analysts often work with AI by analyzing data used to train machine learning models, developing insights, and creating reports that support AI projects. They may also use tools like Python, R, or SQL to process large datasets and collaborate with data scientists and AI engineers. Understanding AI concepts can enhance their ability to interpret and leverage AI-driven insights.
What are popular job titles related to Data Analyst Ai jobs in Reston, VA? For Data Analyst Ai jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Analyst Ai jobs in Reston, VA look for? The top searched job categories for Data Analyst Ai jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Analyst Ai jobs? Cities near Reston, VA with the most Data Analyst Ai job openings:
Data Analyst Ai jobs near you
Infographic showing various Data Analyst Ai job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $85,975 per year, or $41.3 per hour.

Data Analyst (AI Assurance Lead)

U.S. Department of Defense (DOD)

Springfield, VA • On-site, Remote

$169K/yr

Other

Posted 4 days ago

U.S. Department Of Defense rating

7.9

Company rating: 7.9 out of 10

Based on 537 frontline employees who took The Breakroom Quiz

28th of 49 rated military and defense

Job description

Data Analysts combine mission and business analytics knowledge and a consultative approach to prepare reports, briefings, and communicate recommendations to enable stakeholder decision making. Data analysts identify, collect, structure, and evaluate data from various sources to meet analytic needs and prepare data for analysis using a range of data and visualization tools in alignment with data go

Qualifications:

MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:
1. Demonstrated experience evaluating AI systems by executing standardized benchmarking protocols on AI platforms (e.g., Gemini Pro; GPT-4, Claude, or Llama-based frameworks).
2. Demonstrated experience scaling AI capabilities by transitioning enterprise-level automation platforms, from testing environments to live production.
3. Demonstrated experience auditing AI models by either formal vulnerability or bias assessments on AI services (e.g., Retrieval-Augmented Generation (RAG) systems; autonomous agents, or multimodal image/audio classifiers) prior to operational deployment.
EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Data Analytics, Business Intelligence, Mathematics, Statistics, Actuarial Science, Computer Science, Engineering, Information Design, Operations Research, Finance, Information Technology, or a related field. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A, plus experience that requires the application of tools and algorithms to identify trends and patterns in data, or in a related area that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.

DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired:
1. Demonstrated experience evaluating technical architectures by assessing system dependencies, model documentation, or implementation plans in support of enterprise adoption decisions.
2. Demonstrated experience utilizing secure enterprise infrastructure by deploying or integrating AI models within large-scale, highly regulated environments (e.g., IC Foundational AI Stack, AWS GovCloud, or financial/commercial equivalents).
3. Demonstrated experience building AI capabilities by designing or scaling operational AI or automation platforms, resulting in measurable improvements to business workflows, mission effectiveness, or operational efficiency.
4. Demonstrated experience overseeing technical vendors through technical execution management, contractor oversight, or procurement processes for AI or software contracts (e.g., serving as a Contracting Officer's Representative (COR), Technical Monitor, or commercial Vendor Manager).
5. Demonstrated experience validating AI data pipelines by assuring the quality of input datasets for model training, fine-tuning, or performance testing initiatives.

Education:Employment Type: OTHER

What U.S. Department Of Defense employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply