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Ai Data Analytics Jobs in Virginia (NOW HIRING)

Create dashboards, reports, and analytics to assess dataset quality and AI retrieval performance * Document data standards, processing methodologies, and governance practices * Bachelor's Degree in ...

AI Data Analyst

Lynchburg, VA ยท On-site

$85K - $116K/yr

Create dashboards, reports, and analytics to assess dataset quality and AI retrieval performance * Document data standards, processing methodologies, and governance practices What You'll Bring

AI Data Analyst

Lynchburg, VA ยท On-site

$85K - $116K/yr

Create dashboards, reports, and analytics to assess dataset quality and AI retrieval performance * Document data standards, processing methodologies, and governance practices What You'll Bring

AI Data Engineer

Fort Belvoir, VA ยท On-site +1

$160K - $200K/yr

Optimize data workflows for real-time analytics and decision-making. * Ensure adherence to data governance policies and security protocols. * Stay current on data engineering, AI, and machine ...

AI Data Engineer

Fort Belvoir, VA ยท On-site

$160K - $200K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support ... Analyze complex data challenges and deliver practical, innovative technical solutions aligned with ...

AI Data Scientist: At B&A, we foster and embrace a distinct set of values that we live by and ... Analyze large and complex data sets to uncover trends, generate actionable insights, and support ...

Description AI Data Scientist: At B&A, we foster and embrace a distinct set of values that we live ... Analyze large and complex data sets to uncover trends, generate actionable insights, and support ...

AI Data Engineer

Fort Belvoir, VA ยท On-site

$160K - $200K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support ... Analyze complex data challenges and deliver practical, innovative technical solutions aligned with ...

AI Data Scientist: At B&A, we foster and embrace a distinct set of values that we live by and ... Analyze large and complex data sets to uncover trends, generate actionable insights, and support ...

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Ai Data Analytics information

See Virginia salary details

$24

$54

$93

How much do ai data analytics jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for ai data analytics in Virginia is $54.28, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior data scientist, AI research director, or machine learning executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and specialized knowledge of tools like Python, TensorFlow, or cloud platforms.

Which 3 jobs will survive AI?

Data analysts, AI specialists, and cybersecurity professionals are expected to remain in demand as AI advances. These roles require critical thinking, complex problem-solving, and specialized skills that are difficult to automate fully. Continuous learning and proficiency with AI tools can enhance job security in these fields.

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

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

How does an AI Data Analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the salary of an AI data analyst?

The salary of an AI data analyst typically ranges from $60,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, programming, and data visualization tools tend to earn higher salaries.

What are the key skills and qualifications needed to thrive as an AI Data Analyst, and why are they important?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

What is AI Data Analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists in a collaborative environment.
What job categories do people searching Ai Data Analytics jobs in Virginia look for? The top searched job categories for Ai Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Ai Data Analytics jobs? Cities in Virginia with the most Ai Data Analytics job openings:
Infographic showing various Ai Data Analytics job openings in Virginia as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $112,896 per year, or $54.3 per hour.
AI & Data Analytics Developer - Must be government clearance eligible

AI & Data Analytics Developer - Must be government clearance eligible

NavAide

Arlington, VA โ€ข On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago


Job description

Job Title: AI & Data Analytics Developer
About Navaide
Navaide partners with federal clients to deliver mission-focused solutions across financial management, ERP, and digital transformation. We bring deep domain expertise, practical execution, and a people-first culture to complex government environments.
Catalysts for a Stronger Tomorrow
At Navaide, we exist to empower organizations to evolve and adapt in a rapidly changing world. By combining human ingenuity with transformative technology, we develop innovative solutions that drive progress for the people and systems that strengthen our nation. Our mission is rooted in agility, scalability, and a commitment to exceeding expectations, ensuring impactful results for our clients and communities.
How You Will Make an Impact:
We are seeking an AI & Data Analytics Developer to support a federal acquisition process modernization effort. This role will work under the direction of the Lead AI & Data Analytics Engineer to build dashboards, data models, workflows, prototypes, reports, and analytical solutions using Microsoft Power Platform, Palantir Foundry, Advana, Jupiter, and Databricks.
The successful candidate must be technically curious, detail-oriented, proactive, and able to execute quickly. This individual will help clean, transform, validate, and visualize data while supporting AI-enabled use cases that generate insights for acquisition and contract writing stakeholders.
This role is ideal for someone who can build, test, document, and improve analytics products while learning the client's business process and federal data environment.
Key Responsibilities:
  • Support the design, development, testing, and maintenance of dashboards, reports, workflows, and data products.
  • Build Power BI dashboards and reports to support acquisition, contract writing, workload, data quality, and leadership reporting needs.
  • Support Power Platform development, including Power Apps and Power Automate workflows.
  • Assist with Palantir Foundry development, including datasets, transformations, dashboards, applications, and analytical products.
  • Work within Advana and Jupiter environments to access, explore, analyze, and prepare data.
  • Use Databricks, SQL, Python, PySpark, or similar tools to clean, transform, validate, and prepare data for analytics and AI use cases.
  • Support AI-enabled analytics capabilities, including automated insights, natural language querying, anomaly detection, trend analysis, and leadership summaries.
  • Validate AI-generated insights against source data and business rules.
  • Document data sources, transformation logic, assumptions, business rules, calculations, and known data limitations.
  • Assist with data quality checks, data reconciliation, and issue identification.
  • Support user testing, dashboard validation, prototype development, and stakeholder feedback sessions.
  • Work with acquisition and contract writing subject matter experts to understand reporting needs and business context.
  • Support recurring reporting, ad hoc analysis, and executive-level data requests.
  • Collaborate with the lead engineer, business analysts, system owners, and client stakeholders to deliver timely and accurate analytics products.

Required Qualifications:
  • 3+ years of experience in data analytics, business intelligence, data engineering, AI analytics, reporting, dashboard development and workflow automation.
  • Experience with Power BI and data visualization.
  • Experience using SQL and analytical tools such as Python, Jupiter notebooks, or similar analytical tools.
  • Experience cleaning, transforming, validating, and reconciling data with ability to identify data quality issues and inconsistencies.
  • Familiarity with AI, machine learning, generative AI, prompt engineering, or automated insight generation.
  • Strong documentation skills.
  • Ability to communicate analytical findings to non-technical stakeholders.
  • Ability to work in a fast-paced environment and execute tasks with limited day-to-day oversight.
  • Eligible to obtain a U.S. Government clearance

Preferred Qualifications
  • โ€ข Experience with, or willingness to quickly learn, modern analytics platforms and environment such as Palantir Foundry, Advana, Jupiter, and Databricks.
  • โ€ข Experience with Microsoft Power Platform including Power BI, Power Apps, and Power Automate.
  • Experience supporting federal, defense, or national security analytics programs.
  • Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience.

Travel
Up to 10% travel, depending on environment cutovers, stakeholder design sessions, and validation/test events.
Education
What We Offer
Navaide is committed to fostering a supportive, inclusive, and forward-thinking workplace where our team members can thrive. Our benefits are designed to support your well-being, professional growth, and ability to work at a sustainable pace.
  • Competitive compensation: $110,000 - 130,000 / year (commensurate with experience)
  • Comprehensive benefits, including medical, dental, and vision coverage
  • Flexible time off
  • Professional development opportunities
  • Company perks such as flex spending, wellness initiatives, etc.
  • 401(K) matching

About Our Culture
Navaide honors integrity, curiosity, diligence, and collaboration in everything we do. We believe in building strong relationships with our clients, communities, and teammates, united by a shared purpose of creating a stronger tomorrow. Navaide is proud to be an Equal Employment Opportunity employer.
Ready to Make a Difference?
For more about us, please check out the following links:
  • About Navaide
  • Other Opportunities
  • Employee Benefits
  • Connect with us on LinkedIn!

Equal Opportunity Employer: Navaide is an EEO Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
  • E-Verify Participation:
  • E-Verify Participation Poster
  • IER Right to Work Poster

No third parties, please.

NavAide logo

About NavAide

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

51 - 200 Employees

Headquarters location

San Diego, CA, US

Year founded

2016