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Data 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

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

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 ...

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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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All JobsData Analytics JobsData Analytics Jobs in Virginia

Data Analytics information

See Virginia salary details

$24

$54

$93

How much do data analytics jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data 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 job do you get with data analytics?

A career in data analytics can lead to roles such as Data Analyst, Business Analyst, Data Scientist, or Data Engineer. These positions involve analyzing data to support decision-making, often requiring skills in statistical tools, programming languages like Python or R, and data visualization software. Certifications like Certified Analytics Professional (CAP) can enhance job prospects.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst evolves with technology, requiring skills in programming, statistical analysis, and understanding AI capabilities, rather than being fully replaced by AI.

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 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, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the job of data analytics?

The job of data analytics involves examining large datasets to identify patterns, trends, and insights that support decision-making. Data analysts use tools like Excel, SQL, and visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and knowledge of statistical methods are essential for this role.

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.

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.

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 are the most commonly searched types of Data Analytics jobs in Virginia? The most popular types of Data Analytics jobs in Virginia are:
What are popular job titles related to Data Analytics jobs in Virginia? For Data Analytics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Virginia look for? The top searched job categories for Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Data Analytics jobs? Cities in Virginia with the most Data Analytics job openings:
Data Analytics jobs near you
Data Analytics

Data Analytics

Palnar

Reston, VA • On-site

Full-time

Posted 4 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

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