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Data Analytics Jobs in Reston, VA (NOW HIRING)

Data Analytics Lead

Washington, DC · On-site

$80K - $115K/yr

Data Analytics Lead Clearance Required: Public Trust - Federal Client requires US Citizenship Work Location: Hybrid, Washington, DC The Data Analytics Lead will support the program by overseeing data ...

We are looking for a skilled Data Analytics Engineer to join our team. You will build and support enterprise reporting tools using Oracle Analytics and Budget formulation software. Your work will ...

Data Analytics Lead

Rosslyn, VA · Hybrid

$100K - $124K/yr

SkyePoint Decisions is seeking a Data Analytics Lead to support the Diplomatic Security Cyber Mission (DSCM) program providing leading cyber and technology security experience to enable innovative ...

New

Data Analytics Consultant

Washington, DC · On-site

$113K - $188K/yr

The Data Analytics Consultant will support DHS PLCY by delivering data visualizations, analytics products, and automated workflows that enable informed, mission-focused decision-making. This role ...

Data Analytics Consultant

Washington, DC · On-site

$113K - $188K/yr

The Data Analytics Consultant will support DHS PLCY by delivering data visualizations, analytics products, and automated workflows that enable informed, mission-focused decision-making. This role ...

Data Analytics Consultant Clearance Required: Public Trust - Federal Client requires US Citizenship Work Location: Hybrid, Washington, DC The Data Analytics Consultant will support the program by ...

Perform data wrangling tasks to ensure data quality and consistency. * Analyze datasets to identify patterns, trends, and insights. * Create basic data visualizations (e.g., charts, graphs) using ...

Data Analytics Engineer

Washington, DC · On-site

$129K - $155K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA ...

Showing results 21-40

Data Analytics information

See Reston, VA salary details

$25

$56

$98

How much do data analytics jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data analytics in Reston, VA is $56.96, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $64.52 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Reston, VA?

The most popular types of Data Analytics jobs in Reston, VA are:

What are popular job titles related to Data Analytics jobs in Reston, VA?

For Data Analytics jobs in Reston, VA, the most frequently searched job titles are:

What cities near Reston, VA are hiring for Data Analytics jobs?

Cities near Reston, VA with the most Data Analytics job openings:

Infographic showing various Data Analytics 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 $118,469 per year, or $57 per hour.

Data Analytics/Automation SME

Washington, DC • On-site

Other

Re-posted 10 days ago


Job description

Location: Washington, DC (onsite support)

EEO Class: Professional

FLSA Classification: Exempt

Employment Class: Full Time-Salary

Clearance: Active TS/SCI Clearance Required

Position contingent upon award of contract, government acceptance of candidate, and positive adjudication of government investigation.

Position Summary

The Data Analytics / Automation SME provides technical systems/analytics/automation expertise and data and analytics support to the Defense Intelligence Agency - Data and Analytics Team. Specifically:

  • Developing Dashboards and User Facing Products in Microsoft Power Platform
  • Identify opportunities to improve remediation processes and propose modernized, data-driven approaches (e.g., automation, data analytics, workflow improvements) to increase efficiency, improve traceability, and reduce rework.
  • Developing strategies to identify areas of opportunity to optimize statistical efficiency and quality of accounting data
  • Review, recommend, and develop use cases and tools/bots for Accounting related Automation efforts, specifically related to the following activities:
    • Unliquidated Obligation (ULO) clean-up and processing
    • MIPRs (direct cite and reimbursable), PRs, POs processing and review
    • WBS elements review in GFEBS
    • IDOC error report (DTS, AXOL, DCPS, etc.) clean-up and report generation
    • Status of funds reports, open commitments, open obligations reports
    • Commitments, obligations, disbursements review and analysis
  • Design and deploy attended automations in UiPath to address the client's most pressing accounting issues
  • Conduct analysis on financial, accounting, and budgetary trends impacting the client's operations
  • Performing financial data collection through available tools (Discoverer, OBIEE, and APEX)
  • Identifying accounting anomalies and recommend corrective (preventative) actions
  • Ability to leverage Oracle Federal Financials functionality and domain knowledge to assist in solution development
Education & Experience Requirements Education
  • Bachelor’s Degree in Computer Science, Statistics, Mathematics, or related field
Experience
  • 5 years of experience in BI/ Data Analytics/Automation and Data Analytics
  • Proficient with UiPath and Microsoft Power Platform (PowerBI, PowerAutomate, Power Apps, etc.)
  • Existing or Ability to Obtain Top Secret/Sensitive Compartmented Information (TS/SCI) clearance required
  • Must be willing and able to travel as required
  • Knowledge of DoW Systems and Data Analytics/Big Data Platforms and Automation tools
  • U.S. CITIZENSHIP REQUIRED

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Redhawk Administrative Services, LLC is an equal opportunity employer. Redhawk Administrative Services, LLC does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, disability, marital status or any other characteristic protected by law.

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