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Data Analytics Professional Jobs in Virginia (NOW HIRING)

LHH US

Senior Business Data Analyst

Henrico, VA · Hybrid

$79K - $100K/yr

This role is ideal for an experienced analytics professional who enjoys partnering with business leaders, translating data into actionable insights, and delivering advanced reporting and business ...

CGI Inc.

Senior Data Analytics Engineer

Reston, VA · On-site

The ideal candidate will collaborate closely with developers, product owners, business stakeholders, QA teams, and analytics professionals to validate business requirements, data pipelines, reports ...

LHH US

Senior Business Data Analyst

Henrico, VA · Hybrid

$79K - $100K/yr

This role is ideal for an experienced analytics professional who enjoys partnering with business leaders, translating data into actionable insights, and delivering advanced reporting and business ...

Palnar

Data Analytics

Reston, VA · On-site

... professional) setting. - Good to have hands-on development experience with Hadoop and the Hadoop ... Data Analyst teams to develop and implement the Ab Initio solution - Develop generic solutions ...

Modea

Data Analyst II

Roanoke, VA · On-site +1

... analytics professional eager to master the intersection of marketing technology and healthcare business outcomes. In this role, you will play a vital part in delivering product and data analytics ...

Highspring

Manager, Data & Analytics

Mclean, VA · On-site

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical ... Tier 1/Tier 2 consulting or professional services firms. * Experience architecting and developing ...

Highspring

Manager, Data & Analytics

Mclean, VA · On-site

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical ... Tier 1/Tier 2 consulting or professional services firms. * Experience architecting and developing ...

Booz Allen Hamilton

Data Analyst

Arlington, VA · On-site

As an analytics professional, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming ...

Xpect Solutions, Inc.

Data Analytics Engineer

Arlington, VA · On-site

$131K - $158K/yr

Job Overview XPECT Solutions is seeking a Data Analytics Engineer to support our Federal Government ... professional development and growth for a long-lasting and happy career. We offer a benefits ...

New

Mitre

Software Developer, Data Analytics

Mclean, VA

$115K - $139K/yr

Join the MITRE Data Analytics team where you will provide software development, algorithm ... PPR Talent Management Group partners with Brightmove to ensure that only your professional info is ...

Highspring

Senior Manager, Data & Analytics

Mclean, VA · On-site

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical ... Tier 1/Tier 2 consulting or professional services firms. * Experience architecting and developing ...

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All JobsData Analytics Professional JobsData Analytics Professional Jobs in Virginia

Data Analytics Professional information

See Virginia salary details

$24

$54

$93

How much do data analytics professional jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data analytics professional 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 the difference between Data Analytics Professional vs Data Analyst?

AspectData Analytics ProfessionalData Analyst
CredentialsOften requires a degree in data science, statistics, or related fields; certifications like CAP, Google Data AnalyticsTypically holds a degree in similar fields; certifications are common but not mandatory
Work EnvironmentWorks across various industries, often in teams, handling complex data projectsFocuses on data collection, cleaning, and basic analysis, often in business settings
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firmsCommon in retail, marketing, finance, and healthcare sectors

While both roles involve analyzing data, Data Analytics Professionals often handle more complex projects and require broader skill sets, including advanced analytics and data modeling. Data Analysts typically focus on data preparation and basic analysis to support decision-making. Both roles are essential in data-driven organizations, but the scope and complexity of tasks differ.

Is data analytics still a good career?

Data analytics is a strong and growing field with high demand for professionals skilled in data analysis, visualization, and tools like SQL, Python, and Tableau. The role offers opportunities across industries such as finance, healthcare, and technology, with a need for continuous learning and certification to stay current. Job prospects remain favorable due to the increasing reliance on data-driven decision-making.

What career can I do with data analytics?

A data analytics professional can pursue careers such as data analyst, business intelligence analyst, data scientist, or data engineer. These roles involve analyzing data to support decision-making, using tools like SQL, Excel, and visualization software, often requiring strong analytical skills and knowledge of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Virginia?

The most popular types of Data Analytics jobs in Virginia are:

What cities in Virginia are hiring for Data Analytics Professional jobs?

Cities in Virginia with the most Data Analytics Professional job openings:

Data Analytics Professional jobs near you

Data Scientist

RecruitTalent LLC.

Fredericksburg, VA • On-site

$60 - $70/hr

Contractor

Re-posted 22 days ago

Job description

General Responsibilities:

  • Design and implement data pipelines, analytics models, and machine-learning solutions to support process automation and predictive decision-making.
  • Collect, clean, and validate structured and unstructured data from multiple enterprise systems, ensuring data quality and integrity.
  • Perform statistical analysis, forecasting, and pattern recognition to identify process improvement opportunities.
  • Develop interactive dashboards and visualizations using tools like Power BI or Tableau for real-time performance tracking.
  • Collaborate with Solution Architects and Business Analysts to integrate data insights into workflow automation and digital solutions.
  • Support the creation and enforcement of data governance, metadata, and access-control frameworks in coordination with cybersecurity policies.
  • Evaluate and deploy AI/ML models (e.g., classification, regression, clustering, NLP) within automation and decision-support platforms.
  • Implement ETL processes and maintain scalable data storage on cloud platforms such as AWS, Azure, or GCP.
  • Provide technical documentation, data dictionaries, and model explainability reports for audit and compliance purposes.
  • Support training and knowledge transfer, enabling end users to interpret and leverage analytical insights.

Minimum Qualifications:

  • Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or related discipline.
  • Experience:
    • 5–8 years of experience in data analytics, machine learning, or AI model deployment.
    • Proven success designing analytical solutions for IT modernization, automation, or enterprise transformation projects.
    • Experience working with large, complex datasets and applying data-driven methods to improve business or operational performance.

Technical Expertise:

  • Programming & Analysis: Python, R, SQL, Power Query, or PySpark.
  • Machine Learning & AI: scikit-learn, TensorFlow, Keras, or PyTorch.
  • Data Visualization: Power BI, Tableau, Matplotlib, or Plotly.
  • Data Engineering: ETL tools, APIs, REST services, and cloud data storage (AWS S3, Azure Data Lake, GCP BigQuery).
  • Statistics & Modeling: Regression, time-series forecasting, clustering, and anomaly detection.
  • Governance & Security: Familiarity with NIST data-handling standards, FedRAMP compliance, and secure data pipelines.

Preferred Certifications:

  • Microsoft Certified: Data Scientist Associate or Azure AI Engineer
  • Google Professional Data Engineer or AWS Certified Data Analytics – Specialty
  • Certified Analytics Professional (CAP) – INFORMS
  • Lean Six Sigma Green Belt (for data-driven process improvement)
  • Power BI Data Analyst Associate