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

... strengthen data and AI capabilities, and deliver measurable impact. KLSA combines strategic ... Data Analyst The ideal candidate is detail-oriented, technically capable, and comfortable working ...

... strengthen data and AI capabilities, and deliver measurable impact. KLSA combines strategic ... Data Analyst The ideal candidate is detail-oriented, technically capable, and comfortable working ...

Data Analyst

Arlington, VA · On-site

$85K - $184K/yr

The Data Analyst will use Advana platform data to identify trends, patterns, and actionable ... Please send your request to hr@avalore.ai. Avalore is an Equal Opportunity Employer - We not ...

Position Overview As a Data Analyst, you will lead complex analytical projects and advise IAD ... Certified Scrum Master (CSM) or formal training in AI, machine learning, or advanced business ...

Position Overview As a Data Analyst, you will lead complex analytical projects and advise IAD ... Certified Scrum Master (CSM) or formal training in AI, machine learning, or advanced business ...

Data Analyst

Arlington, VA · On-site

$85 - $184/hr

The Data Analyst will use Advana platform data to identify trends, patterns, and actionable ... Please send your request tohr@avalore.ai. Avalore is an Equal Opportunity Employer - Wenot ...

Data Analyst

Arlington, VA · On-site

$85K - $184K/yr

The Data Analyst will use Advana platform data to identify trends, patterns, and actionable ... Please send your request to hr@avalore.ai. Avalore is an Equal Opportunity Employer - We not ...

Data Analyst

Arlington, VA · On-site

$85 - $150/hr

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Experience integrating practical AI capabilities, such as LLMs or machine learning models, into ...

Utilizing analytics tools and artificial intelligence (AI) for data visualization and business intelligence (BI), such as Power BI. * Assists in the coordination of project planning with other ...

Utilizing analytics tools and artificial intelligence (AI) for data visualization and business intelligence (BI), such as Power BI. * Assists in the coordination of project planning with other ...

Data Analyst

Arlington, VA · On-site

$85K - $150K/yr

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Experience integrating practical AI capabilities, such as LLMs or machine learning models, into ...

Data Analyst

Arlington, VA · On-site

$85K - $150K/yr

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Experience integrating practical AI capabilities, such as LLMs or machine learning models, into ...

Data Analyst

Bethesda, MD · On-site

$80K - $95K/yr

The Data Analyst supports engagement teams across the Firm with data manipulation, extraction, and ... Familiarity with AI-enabled analytics tools WORK AUTHORIZATION Must have valid work authorization ...

Data Analyst

Washington, DC · On-site

$110 - $130/hr

Utilizing analytics tools and artificial intelligence (AI) for data visualization and business intelligence (BI), such as Power BI. * Assists in the coordination of project planning with other ...

Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and ... Conduct research and develop quantitative analytic reports using Air technology and data * Orally ...

Conduct workforce research, human capital surveys, and AI-driven sentiment analysis to enhance employee experience. RESPONSIBILITIES AND DUTIES - Survey Data Analyst | Workforce Planning & Strategic ...

Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and ... Conduct research and develop quantitative analytic reports using Air technology and data * Orally ...

Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and ... Conduct research and develop quantitative analytic reports using Air technology and data * Orally ...

Qualifications - 2+ years in AI, analytics, or governance. - Bachelor's degree in data science, computer science, or related field. - Experience with AI model validation, risk assessment, and ...

Showing results 41-60

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 Sep 5, 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.

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 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:

Infographic showing various Data Analyst Ai job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $85,975 per year, or $41.3 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

Company Overview

K.L. Scott & Associates (KLSA) is a mission-driven management and technology consulting firm that partners with public-sector organizations to modernize operations, strengthen data and AI capabilities, and deliver measurable impact. KLSA combines strategic advisory services with hands-on delivery; bringing product leadership, secure data engineering, systems integration, and user-centered design to help clients translate complex requirements into scalable, high-quality solutions.

Position Overview

We are seeking a Data Analyst with at least 3+ years of experience in data analytics to support a federal client in analyzing data, developing datasets, building dashboards, and preparing visualizations and reports that help client leadership make informed decisions. This role will work with business analysts, senior data analysts, dashboard developers, and federal stakeholders to translate reporting needs into clear, accurate, and useful analytical products.

Data Analyst

The ideal candidate is detail-oriented, technically capable, and comfortable working with structured data, Python, R, SQL, DAX, BI tools, and dashboard requirements. Experience supporting a federal public safety agency is a plus.

The ideal candidate will reside in or within commutable distance to Washington DC.

Key Responsibilities: 

  • Support data analysis efforts by collecting, cleaning, validating, and preparing data from multiple source systems for dashboards, reports, and visualizations.
  • Write SQL queries to extract, transform, join, summarize, and analyze data for recurring and ad hoc reporting needs.
  • Support ETL activities, including data extraction, cleansing, transformation, quality checks, and documentation of business rules.
  • Build and maintain datasets used for dashboards, data visuals, performance reports, and analytical deliverables.
  • Develop dashboards, reports, charts, and visualizations using Power BI, and other BI or reporting tools.
  • Integrate Python into Power BI for highly customizable and complex statistical visualizations
  • Create ad hoc reports and analytical summaries in response to client stakeholder and project team requests.
  • Work with business analysts and client stakeholders to understand reporting requirements, metrics, data definitions, and intended dashboard use cases.
  • Perform data quality reviews, identify anomalies or inconsistencies, and support resolution of data issues.
  • Assist with dashboard testing, user acceptance testing, validation, and refinement based on stakeholder feedback.
  • Prepare clear documentation, including data dictionaries, metric definitions, report logic, source-to-target notes, and dashboard user guidance.
  • Collaborate with senior data analysts, internal data teams, and dashboard developers to ensure analytical outputs are accurate, useful, and aligned with client priorities.
  • Present analysis, findings, and dashboard functionality to technical and non-technical audiences as needed.
  • Support continuous improvement of reporting processes, dashboard usability, and data analysis workflows.

Required Qualifications: 

  • Minimum of 3+ years of experience in data analysis, reporting, business intelligence, dashboard development, or a related analytical role.
  • Bachelor of Science or Bachelor of Science in Business degree in Data Analytics, Data Science, Information Systems, Finance, Statistics, Mathematics, Computer Science, or an equivalent field.
  • At least two years of experience with Python libraries such as pandas, dataframes, matplotlib, numpy, etc.
  • At least two years of experience writing complex SQL queries to extract, join, transform, and analyze data from relational databases or structured data sources.
  • At least two years of writing complex DAX and M-language formulas involving financial data
  • At least two years of experience in finance or accounting
  • Experience in statistical modeling and financial forecasting (linear regression/logical regression/time series forecasting)
  • Experience automating workflows
  • Experience working with multiple data sources and preparing datasets for reporting, dashboards, or business intelligence products.
  • Experience supporting ETL/ELT, data cleansing, data validation, and data quality review activities.
  • Experience developing dashboards, reports, and visualizations using Power BI, or similar BI tools.
  • Understanding of data visualization concepts, dashboard design principles, and reporting best practices.
  • Ability to build ad hoc reports and summarize analytical findings for stakeholders.
  • Strong written and verbal communication skills.
  • Ability to work effectively with federal clients, business analysts, senior data analysts, dashboard developers, and technical teams.
  • Strong attention to detail, organizational skills, and ability to manage multiple analytical tasks in a client-facing environment.
  • Must be in-person in Washington, D.C. 5 days a week.
  • Must have or be able to obtain full scope background investigation and clearance.

Preferred Qualifications: 

  • Experience supporting federal clients, particularly federal public safety, law enforcement, homeland security, emergency management, or related mission environments.
  • Expert in Python, SQL, and Power BI DAX
  • Expert in financial modeling and forecasting
  • Expert in ETL/ELT processes
  • Experience in BASH commands and PowerShell
  • Experience working in government consulting or public sector analytics environments.
  • Experience with additional BI, reporting, database, or data preparation tools.
  • Familiarity with data dictionaries, data lineage, metric documentation, and data governance practices.
  • Experience supporting executive-level dashboards, operational performance reporting, or mission-focused analytics.
  • Familiarity with Agile, hybrid, or iterative project delivery environments.

Desired Skills and Competencies

  • Strong analytical, problem-solving, and critical-thinking skills.
  • Solid Python, SQL, DAX, data preparation, dashboarding, and data visualization capabilities.
  • Ability to turn business and reporting needs into accurate datasets, charts, reports, and dashboard outputs.
  • Strong communication skills and ability to explain analytical findings to technical and non-technical audiences.
  • Strong attention to detail and commitment to data quality and documentation.
  • Ability to collaborate effectively with senior analysts, business analysts, federal stakeholders, and technical teams.
  • Willingness to learn, receive mentorship, and contribute to team standards and repeatable analytical practices.

Benefits: 

  • Competitive salary
  • Health, dental, and vision insurance
  • 401K
  • "Discretionary" PTO
  • Professional development opportunities
  • A dynamic and collaborative work environment

Working Environment: 

This role will support a federal client and requires collaboration with client stakeholders, public safety subject matter experts, business analysts, senior data analysts, dashboard developers, and project leadership. The Data Analyst will help transform raw data into usable datasets, dashboards, reports, and visual insights that support operational and leadership decision-making.

If you are a results-driven professional and have the above qualifications, we encourage you to apply for this position. Join our team and contribute to our continued growth and success. To apply, please send your resume and a cover letter detailing your relevant experience and why you are the ideal candidate for this role. 

K.L. Scott & Associates is committed to diversity and inclusion and welcomes candidates from all backgrounds and experiences to apply. We thank all applicants for their interest, but only those selected for an interview will be contacted.