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Operational Data Analyst Jobs in Virginia (NOW HIRING)

Data Analyst Alexandria, VA Are you ready to enhance your skills and build your career in a rapidly ... If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join ...

If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join ... The Data Analyst will analyze a large variety of documents to ensure proper placement in physical ...

If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join ... The Data Analyst will analyze a large variety of documents to ensure proper placement in physical ...

If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join ... The Data Analyst will analyze a large variety of documents to ensure proper placement in physical ...

If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join ... The Data Analyst will analyze a large variety of documents to ensure proper placement in physical ...

M&J is seeking a Data/Business Analyst to provide analytical, data-driven insights to improve operational performance, financial efficiency, and strategic decision-making across key business areas.

M&J is seeking a Data/Business Analyst to provide analytical, data-driven insights to improve operational performance, financial efficiency, and strategic decision-making across key business areas.

Showing results 41-60

Operational Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do operational data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for operational 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 Operational Data Analyst vs Data Analyst?

AspectOperational Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Statistics, Mathematics, or related field; similar technical skills
Work EnvironmentFocus on operational data, process improvement, and real-time analytics within organizationsBroader data analysis across various projects, including market research and reporting
Employer & Industry UsageUsed in industries like manufacturing, logistics, and retail for operational insightsCommon across finance, marketing, healthcare, and other sectors for data-driven decision-making

Operational Data Analysts specialize in analyzing operational data to improve processes and efficiency, often working closely with operational teams. Data Analysts have a broader scope, working on various data projects across different departments. While both roles require similar skills and education, their focus areas and typical industries differ, making each role unique in its contribution to organizational success.

What does an operational data analyst do?

An operational data analyst collects, analyzes, and interprets data related to business operations to identify trends, improve processes, and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and dashboards, ensuring operational efficiency and effectiveness.

What is the salary of an operational data analyst vs operations analyst?

Operational Data Analysts typically earn a median salary ranging from $60,000 to $80,000 annually, depending on experience and location. Operations Analysts often have similar salaries, generally between $55,000 and $75,000, with variations based on industry and company size. Both roles require strong analytical skills and proficiency with data tools like Excel, SQL, or Tableau.

What is an operational data analyst?

An Operational Data Analyst is a professional who collects, analyzes, and interprets data related to an organization's daily operations. Their main goal is to identify trends, inefficiencies, and opportunities for process improvement by working closely with operational teams. They use various data analysis tools and methods to create reports, dashboards, and actionable insights that support decision-making. Operational Data Analysts often collaborate with different departments to ensure data accuracy and optimize business performance.

Is an operational data analyst entry level?

An entry-level operational data analyst position typically requires minimal professional experience, often focusing on skills in data analysis tools like Excel, SQL, or Tableau. Many roles are suitable for recent graduates or those with 1-2 years of related experience, and some employers may offer on-the-job training or certifications to develop necessary skills.

What are some common challenges faced by operational data analysts when working with cross-functional teams?

Operational Data Analysts often work closely with departments such as operations, finance, and IT, each of which may have different data priorities and technical backgrounds. A common challenge is translating complex data findings into actionable insights for non-technical stakeholders while ensuring data integrity across systems. Effective communication and a collaborative approach are essential to align goals, clarify requirements, and ensure successful project outcomes.

What are the key skills and qualifications needed to thrive as an operational data analyst, and why are they important?

To thrive as an Operational Data Analyst, you need strong analytical abilities, statistical knowledge, and experience with data management, often supported by a degree in data science, statistics, or a related field. Proficiency in data analysis tools such as SQL, Excel, Python, and business intelligence platforms like Tableau or Power BI is typically required. Excellent problem-solving skills, attention to detail, and effective communication help analysts interpret complex information and share actionable insights with stakeholders. These skills are crucial for optimizing business processes, enabling data-driven decisions, and delivering measurable operational improvements.
What job categories do people searching Operational Data Analyst jobs in Virginia look for? The top searched job categories for Operational Data Analyst jobs in Virginia are:
Infographic showing various Operational Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 88% Full Time, 3% Temporary, and 9% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Data Analyst, Sr. AI Research Systems Support (Pending Contract Award) - SBG

SBG TECHNOLOGY SOLUTIONS INC

Alexandria, VA โ€ข On-site, Remote

$91K - $116K/yr

Full-time

Re-posted 13 days ago


Job description

SBG Technology Solutions, Inc. (SBG), a DSS, Inc. company, offers Systems Engineering, Enterprise Modernization, Artificial Intelligence, Cyber Security, and IT Governance innovation to Federal and commercial clients nationwide.ย 

**Contingent Upon Contract Award**

Overview

SBG is seeking a Senior Data Analyst to support artificial intelligence (AI), analytics, and data modernization initiatives within the Department of Veterans Affairs (VA) Office of Research and Development (ORD). This role supports enterprise AI activities focused on research portfolio analysis, operational reporting, AI-enabled analytics, and development of scalable data capabilities supporting research, policy, and operational decision-making.

The Data Analyst, Sr โ€“ AI Research Systems Support will:ย 

  • The Senior Data Analyst will support data analysis, reporting, statistical programming, and analytics activities associated with strategic AI initiatives, research operations, and enterprise modernization efforts. The position will work closely with technical teams, project managers, operational leadership, and stakeholders to support data integration, reporting automation, AI pilot initiatives, and analytics-driven operational improvements.

  • Support analytics and reporting activities associated with enterprise AI, research, and operational modernization initiatives.

  • Develop and maintain dashboards, reports, data visualizations, and operational analytics supporting leadership decision-making.

  • Perform data extraction, transformation, analysis, validation, and reporting activities across multiple enterprise data sources.

  • Support development and optimization of ETL workflows, reporting processes, and analytics activities.

  • Conduct statistical programming, data analysis, and operational reporting activities supporting research and organizational priorities.

  • Support AI-enabled analytics initiatives, including activities involving large language models (LLMs), retrieval workflows, and operational data analysis.

  • Assist with development of scalable analytics workflows and rapid testing approaches to improve operational efficiency and reporting responsiveness.

  • Support integration and analysis of data from research systems, operational platforms, databases, and cloud-based environments.

  • Collaborate with technical and operational stakeholders to support AI pilots, analytics initiatives, and reporting priorities.

  • Support data quality management, validation, and continuous improvement activities.

  • Prepare summaries, presentations, dashboards, and executive-level reporting materials for technical and non-technical audiences.

Conditions of Employment:

  • Must be a US Citizenย 

  • Must be able to pass a Federal background check

  • Must be determined suitable for federal employment

Security and Privacy Duties and Responsibilities:

Individuals working for SBG Technology Solutions, Inc, a DSS, Inc. will be subject to security and privacy requirements as explained in HIPAA, FedRAMP, and NIST 800-53. Additionally, they are required to undergo specific FedRAMP training to ensure compliance with all associated controls and responsibilities in the day-to-day performance of their duties. Individuals working in departments that are considered to be in the high-risk category will be required to undergo advanced training based on their role and level of access. Individuals with access to modify data and the configuration baseline will require further training.

The preceding functions are examples of the work performed by employees assigned to this job classification.ย  Management reserves the right to add, modify, change or rescind work assignments and make a reasonable accommodation as needed.ย 

Required Skills:

  • Experience with SQL, Python, ETL processes, databases, and analytics/reporting environments.

  • Experience developing dashboards, reports, data visualizations, or business intelligence solutions.

  • Experience supporting cloud-based analytics, data warehouse, or data lake environments.

  • Familiarity with AI/ML technologies, large language models (LLMs), or AI-enabled analytics workflows.

  • Strong analytical and problem-solving skills with the ability to synthesize complex data into actionable insights.

  • Experience supporting data quality management and validation activities.

  • Ability to communicate technical findings clearly to executive and non-technical stakeholders.

  • Proficiency with Microsoft Office Suite, including Excel and PowerPoint.

  • Ability to work independently in a remote environment while managing multiple priorities.

  • Ability to obtain and maintain public trust clearance.

  • Legal authorization to work in the United States.

Preferred Skills:

  • Experience supporting VA, VHA, federal healthcare, research, or enterprise analytics environments.

  • Experience with Power BI, Tableau, or similar business intelligence and visualization platforms.

  • Experience supporting AI-enabled analytics, retrieval workflows, or data-driven reporting solutions.

  • Familiarity with REDCap, healthcare data systems, or research data environments.

  • Experience supporting operational analytics, portfolio analysis, or reporting modernization initiatives.

  • Familiarity with cloud platforms such as Azure or AWS.

  • Experience working in fast-paced, matrixed environments supporting multiple concurrent priorities.

  • High degree of professionalism, discretion, and mature judgment in handling sensitive information.

Education:ย 

  • Required:ย Bachelorโ€™s degree in data science, statistics, computer science, healthcare informatics, mathematics, public health, or a related field.

  • Desired:ย Masterโ€™s degree in data science, statistics, computer science, healthcare informatics, mathematics, public health, or a related field

Years of experience in a similar role:

  • Required:ย 8+ years of experience supporting data analytics, reporting, statistical programming, or enterprise data operations in a complex organization.

  • Desired:ย 12+ years of experience supporting data analytics, reporting, statistical programming, or enterprise data operations in a complex organization.

Physical Demands:

Standing

10% per day

Sitting

70% per day

Walking

20% per day

Stooping

10% per day

Lifting

If traveling, ability to lift up to 50 lbs. unassisted (luggage, laptop etc.)

Up to 10 lbs. unassisted, several times a day (laptop, office equipment, office supplies, etc.)

Computer Work

75% per day

Telephone Work

10% per day

Reading

15% per day

Other, please specify

Travel unassisted up to ___% per year, via common carrier and/or personal automobile.

SBGTS, Inc. is an Equal Opportunity Employer

If you need an accommodation seeking employment with SBGTS, Inc., please e-mail jobs@dssinc.com or call (561) 284-7333. Accommodations are made on a case-by-case basis.