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Data And Analytics Jobs in Virginia (NOW HIRING)

Palnar

Data Analytics

Reston, VA · On-site

... and Data Analyst teams to develop and implement the Ab Initio solution - Develop generic solutions using Ab Initio for new data integration requests - Analyze and investigate data quality issues ...

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analytics Architect leads the design, integration, and governance of data systems that enable advanced analytics, operational insights, and decision support for a government UAS/C-UAS ...

Parsons Corporation

Data Analytics Architect

Alexandria, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analytics Architect leads the design, integration, and governance of data systems that enable advanced analytics, operational insights, and decision support for a government UAS/C-UAS ...

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In this context we are looking for a Data Analytics Specialist to join our Digital & Analytics Team in Herndon, VA . WHAT'S IN IT FOR YOU Here is a selection of some of the benefits we offer our ...

Airbus

Data Analytics Specialist

Dulles, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In this context we are looking for a Data Analytics Specialist to join our Digital & Analytics Team in Herndon, VA . WHAT'S IN IT FOR YOU Here is a selection of some of the benefits we offer our ...

KORE1 Technologies

Data Analytics Engineer

Glen Allen, VA · On-site

$180K - $200K/yr

What You'll Do Help Build the Data Foundation * Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to ...

Highspring

Manager, Data & Analytics

Mclean, VA · On-site

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients ...

McKesson

Manager, Data Analytics

Richmond, VA

Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change ...

KORE1 Technologies

Data Analytics Engineer

Glen Allen, VA · On-site

$106K - $127K/yr

What You'll Do Help Build the Data Foundation * Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to ...

Ryde Technologies, LLC

Data Analytics Engineer

Arlington, VA · On-site

$130K - $157K/yr

Job Overview We are seeking a Data Analytics Engineer to support our Federal Government Customer with delivering secure, cloud-based mission systems. The Engineer will contribute to the design ...

Highspring

Manager, Data & Analytics

Mclean, VA

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients ...

McKesson

Manager, Data Analytics

Richmond, VA

Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change ...

MCKESSON

Manager, Data Analytics

Richmond, VA · On-site

Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change ...

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All JobsData And Analytics JobsData And Analytics Jobs in Virginia

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See Virginia salary details

$24

$54

$93

How much do data and analytics jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data and 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 are some common challenges faced by professionals in data and analytics roles, and how can they be addressed?

Professionals in Data and Analytics often face challenges such as managing large volumes of complex data, ensuring data quality, and translating technical findings into actionable business insights. These challenges can be addressed by developing strong data management practices, using robust data cleaning and validation tools, and improving communication skills to present analytics results to non-technical stakeholders. Collaborating closely with cross-functional teams and staying updated on the latest analytics technologies also help in overcoming these hurdles and delivering impactful results.

What is the difference between Data And Analytics vs Data Analyst?

AspectData And AnalyticsData Analyst
CredentialsOften requires degrees in data science, statistics, or related fields; certifications like CAP, Microsoft Certified Data AnalystTypically requires a bachelor's degree in data-related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentWorks with large datasets, data warehouses, and analytics tools across departmentsFocuses on data cleaning, visualization, and reporting for specific projects
Industry UsageUsed across industries for strategic insights and decision-makingCommonly employed in business, finance, healthcare for operational analysis

While Data And Analytics professionals develop comprehensive data strategies and work with complex tools, Data Analysts focus on interpreting data, creating reports, and providing actionable insights. Both roles are essential but differ in scope and depth of data handling.

Is data and analytics a good career?

Data and analytics is a growing field with strong demand for professionals skilled in data analysis, statistical methods, and tools like SQL, Python, and Tableau. It offers opportunities across industries, competitive salaries, and potential for career advancement, making it a viable and rewarding career choice.

What jobs are there in data and analytics?

Jobs in data and analytics include roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, Data Engineer, and Analytics Manager. These positions typically require skills in statistical analysis, programming languages like Python or R, and familiarity with data visualization tools such as Tableau or Power BI.

What does a data and analytics job do?

A data and analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Professionals in this field use tools like SQL, Python, or Tableau to interpret data trends, create reports, and support strategic planning.

What is data and analytics?

Data and analytics refers to the process of collecting, processing, and analyzing large sets of data to extract valuable insights that inform business decisions. This field encompasses techniques such as data mining, statistical analysis, and the use of specialized software tools to interpret trends and patterns. Professionals in data and analytics help organizations make evidence-based choices, improve efficiency, and gain a competitive edge. Their work can impact various areas, including marketing, finance, operations, and more.

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

To thrive in Data and Analytics, you need a strong background in statistics, data modeling, and analytical reasoning, often supported by a relevant degree in mathematics, computer science, or a related field. Experience with tools and platforms such as SQL, Python, R, Tableau, and data warehousing systems is typically required, and certifications like Certified Analytics Professional (CAP) or Google Data Analytics can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals translate complex data into actionable insights for stakeholders. These skills are crucial for driving data-driven decision-making and delivering measurable business value.

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

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

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

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

Data And Analytics jobs near you
Infographic showing various Data And Analytics job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $112,896 per year, or $54.3 per hour.

Data Analytics

Palnar

Reston, VA • On-site

Full-time

Re-posted 7 days ago

Job description


5 Years' Experience
- Bachelor's degree in computer science, decision support systems (DSS), information engineering, business administration, or other related discipline. Masters degree in a related discipline is a plus.
- Experience with hands-on work designing and implementing data integration, Big Data, and/or business intelligence solutions
- Experience in design, development and tuning industry leading ETL, Big Data, and/or Business Intelligence software tools in data intensive, large scale environments.
- Must have hands-on Ab Initio ETL experience in a work (professional) setting.
- Good to have hands-on development experience with Hadoop and the Hadoop ecosystem including tools such as Hive, Spark, Spark Streaming, Kafka, Sqoop, Flume, etc.
- Strong SQL and data modelling skills like 3rd normal form and dimensional modelling
- Strong DB2/or any relational database, Java, and UNIX skills
- Understanding of newer or emerging trends such as Big Data, Columnar databases, NoSQL, Hadoop, MapReduce, social media, data visualization, XML, and unstructured text is a plus.
The responsibilities include, but not limited to:
- Coordinate with Enterprise Big Data Platform development and Data Product teams to understand the requirement
- Coordinate with Big Data, Ab Initio Admin, Data Architecture, and Data Analyst teams to develop and implement the Ab Initio solution
- Develop generic solutions using Ab Initio for new data integration requests
- Analyze and investigate data quality issues reported by Data Product teams
- Coordinate with Development and Prod Support team to investigate and address production issues
- Support releases by validating the data after deployments, as needed
Additional Skills:
- Excellent written and verbal communication
- Good to have hands on experience with CI/CD (Jenkins)
- Developing generic framework and automation
This is a hybrid role and the developer will be engaged in new development and operational tasks

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