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Data And Analytics Jobs in Virginia (NOW HIRING)

Palnar

Data Analytics

Reston, VA · On-site

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 ...

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

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 ...

Freddie Mac

Data Analytics Professional

Mclean, VA · On-site

$85K - $127K/yr

This Multifamily Advanced Insights and Reporting (MF AIR) Data Analytics Professional position is in the Multifamily Division at Freddie Mac. This role will support the Multifamily line of business ...

Sallie_mae

Manager, Data Analytics

Sterling, VA · On-site

Analyze complex data sets to identify patterns and trends that will drive business growth. * Develop models and forecasts to support business planning and decision-making. * Present findings and ...

KORE1 Technologies

Data Analytics Engineer

Glen Allen, VA

$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 ...

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 ...

GDIT

Data Analytics Engineer

Chantilly, VA · On-site +1

$142K - $169K/yr

Yes As a Data Analytics Engineer, you will: * Evolve Extract, Transform, Load (ETL) pipelines of structured and unstructured data from a verity of disparate sources to meet the needs of an advanced ...

Stbancorp

$48K - $115K/yr

The Data & Analytics Senior Analyst works at the direction of a Team Leader to fulfill the data and analytical needs of their designated business partners. Delivers solutions including reporting ...

Capital One

Senior Manager, Data Analytics

Mclean, VA · On-site

Senior Manager, Data Analytics At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every ...

Capital One

Data Analytics Manager- Card

Mclean, VA · On-site

Data Analytics Manager- Card At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit ...

Capital One

Data Analytics Manager- Card

Mclean, VA · On-site

Data Analytics Manager- Card At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance, and AI-enabled capabilities for a complex federal technology services program. This role will ...

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$24

$54

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How much do data and analytics jobs pay per hour?

As of Jun 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 jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, or marketing. Strong analytical skills and knowledge of statistical methods are essential for these positions.

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.

What jobs does data analytics do?

Data analytics involves roles such as data analyst, data scientist, business intelligence analyst, and data engineer. These professionals analyze large datasets using tools like SQL, Python, or R to identify trends, support decision-making, and improve business processes.

What jobs are there in data analytics?

Jobs in data analytics include Data Analyst, Data Scientist, Business Intelligence Analyst, Data Engineer, and Data Architect. These roles involve analyzing data, creating reports, developing data models, and using tools like SQL, Python, R, and Tableau to support decision-making. Many positions require strong analytical skills and knowledge of data management and visualization tools.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills in data analysis, programming, and tools like Excel, SQL, and Python. Many professionals transition into data analysis later in their careers by gaining relevant certifications and experience, regardless of age.

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
Data Analytics

Data Analytics

Palnar

Reston, VA • On-site

Full-time

Posted 6 days ago

Job description

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

Apply