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Data Analyst Jobs in Virginia (NOW HIRING)

Data Analyst

Springfield, VA · On-site

$75K - $95K/yr

SPA has an upcoming need for a Data Analyst to provide hybrid support in Northern Virginia. Responsibilities The candidate will work with a team of data architects, data analysts, and cost analysts ...

Data Analyst

Springfield, VA · On-site

$75K - $95K/yr

SPA has an upcoming need for a Data Analyst to provide hybrid support in Northern Virginia. Responsibilities The candidate will work with a team of data architects, data analysts, and cost analysts ...

Data Analyst

Springfield, VA · Hybrid

$75K - $95K/yr

SPA has an upcoming need for a Data Analyst to provide hybrid support in Northern Virginia. Responsibilities The candidate will work with a team of data architects, data analysts, and cost analysts ...

Position Overview ANSER is seeking a skilled Data Analyst to support an Office of the Secretary of War (OSW) client. In this role, you will leverage data analytics, business intelligence, and ...

Position Overview ANSER is seeking a skilled Data Analyst to support an Office of the Secretary of War (OSW) client. In this role, you will leverage data analytics, business intelligence, and ...

Data Analyst Banking (1 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Banking to support reporting and analytics for banking and payments platforms.

TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights. The ideal candidate will be responsible for the full lifecycle of data ...

TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights. The ideal candidate will be responsible for the full lifecycle of data ...

Role Overview The Data Analyst supports the maintenance of data holdings, ensures compliance to data standards, and performs quantitative analysis of data. You'll transform data, develop ...

New

Role Overview The Data Analyst supports the maintenance of data holdings, ensures compliance to data standards, and performs quantitative analysis of data. You'll transform data, develop ...

Data Analyst General Information Requisition # 677 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS - MBI Remote Type Hybrid Time Type Full time Description ...

Experience working as a BA/Data Analyst in a Data warehouse/Data governance platform. - Strong analytical and problem solving skills. - Proficiency in SQL, data analysis, and data visualization tools ...

Data Analyst Category: Business Analysis (functional and technical) Main location: United States, Virginia, Reston Position ID:J0526-2528 Employment Type: Full Time U.S. - Technology as a force for ...

Data Analyst General Information Requisition # 677 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS - MBI Remote Type Hybrid Time Type Full time Description ...

Data Analyst Location: Charlottesville, VA 22902 Duration: 12+ Months 8am to 4.30pm Description: Data Analyst needed to create and customize SSRS reports, analyze, clean and load SQL data for ...

Data Analyst General Information Requisition # 677 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS - MBI Remote Type Hybrid Time Type Full time Description ...

Data Analyst Our client, in the shipping and logistics/supply chain industry, is seeking a Data Analyst. This is a junior to mid-level, permanent/direct hire position. The employee will have ...

Data Analyst

Springfield, VA · On-site +1

$62K - $141K/yr

The Data Analyst applies their technical and analytical capabilities to support key business and security objectives. This role involves working with stakeholders to clarify requirements, developing ...

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Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do data analyst jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.

What job does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Virginia? The most popular types of Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Data Analyst jobs? Cities in Virginia with the most Data Analyst job openings:

$75K - $95K/yr

Full-time

Posted 7 days ago


Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.
The Joint, Office of the Secretary of Defense, Interagency Division (JOID) provides expert support services to a range of customers spanning across the Department of Defense, Federal Civilian, and international markets. JOID provides a diverse portfolio of analytical and programmatic capabilities to help our customers make informed decisions on their most challenging issues.
The Critical Infrastructure Group (CIG) within JOID provides technical, programmatic and analytical support to customers with missions in national security to include the Department of Homeland Security (DHS), Health and Human Services (HHS), and the Federal Aviation Administration (FAA). The Group brings technical and operational expertise in fields of countering weapons of mass destruction, critical infrastructure protection, emergency response, nuclear non-proliferation, weapons deployment programs, and transportation safety. In addition to management and advisory services, CIG staff collaborate closely with our clients to provide high-quality modeling, simulation, software, and analytical products to meet the most demanding government standards and timelines.
SPA has an upcoming need for a Data Analyst to provide hybrid support in Northern Virginia.
Responsibilities
The candidate will work with a team of data architects, data analysts, and cost analysts to support the Department of Homeland Security in developing and implementing a data management and analysis solution for government cost and acquisition analysts. Will apply rational, systematic, science-based techniques, advanced analytical methods, and critical thinking to help inform clients and to improve decision-making in complex processes. Obtain, integrate, and report client data, and develop and apply analytic methodologies and principles. Lead the application of analytic techniques and help define project objectives and strategic direction. Resolve complex problems which require an in-depth knowledge of analytic methodologies and principles. Create and promulgate data collection templates, maintain databases, and work with various analytical tools. Analyze acquisition data, formulate conclusions and recommendations, design and develop materials, and evaluate effectiveness in accordance with stated guidelines, speculations, and models. Conduct research, data gathering, and technical reviews. Produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing, and implementation activities. Troubleshoot issues in reports related to data and assimilating, integrating, and interfacing technical knowledge with business/system requirements. Manage client relationships and expectations.
Qualifications
Required:
  • U.S. Citizen and eligible for a DHS suitability clearance
  • 2+ years of professional experience in the area of data science or data engineering
  • Bachelor's degree in Business, Engineering, Science, or Mathematics with 24 semester credit hours in quantitative analysis
  • Validated analytical, creative, and effective problem solving skills, with the ability to present solutions both in written and oral format
  • Solid understanding of applying mathematical, statistical, econometric, and other scientific methods to real world problems

Desired:
  • Experience using R, Tableau, or Power BI
  • Experience using ACEIT
  • Active DHS suitability or DoD Secret clearance
  • Experience with DoD or Coast Guard acquisition programs

Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience, qualifications, market and business considerations, and pay parity.
Salary transparency pay range: $75k-$95K