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Operational Data Analyst Jobs in Virginia (NOW HIRING)

Data Analyst

Arlington, VA · Hybrid

$100K - $124K/yr

Analyze cybersecurity and operational datasets (e.g., network logs, authentication data, phishing activity, threat telemetry) to identify trends, anomalies, and patterns. * Develop and maintain ...

This role operates within Lending Strategy's Data Governance Team and is responsible for performing complex analytical and statistical modeling on large data sets to support business operations and ...

This role operates within Lending Strategy's Data Governance Team and is responsible for performing complex analytical and statistical modeling on large data sets to support business operations and ...

Data Analyst

Vienna, VA · Hybrid

$104K - $134K/yr

This role operates within Lending Strategy's Data Governance Team and is responsible for performing complex analytical and statistical modeling on large data sets to support business operations and ...

New

Collaborate with cross-functional teams (e.g., Marketing, Finance, Operations) to understand business requirements, define analytical needs, and provide data-driven recommendations to solve complex ...

Data Analyst

Hampton, VA · On-site

$180K - $200K/yr

Deep understanding of military operations, intelligence gathering (e.g., all-source, OSINT), and ... Strong problem-solving, data analysis, and critical thinking abilities * Knowledge of standard ...

Collaborate with cross-functional teams (e.g., Marketing, Finance, Operations) to understand business requirements, define analytical needs, and provide data-driven recommendations to solve complex ...

Data Analyst

Vienna, VA · Hybrid

$51 - $61/hr

This role operates within Lending Strategy''s Data Governance Team and is responsible for performing complex analytical and statistical modeling on large data sets to support business operations and ...

Data Analyst

Vienna, VA · On-site

$51 - $61/hr

This role operates within Lending Strategy's Data Governance Team and is responsible for performing complex analytical and statistical modeling on large data sets to support business operations and ...

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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 Jun 10, 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 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.

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.
Data Analyst

Other

Posted yesterday


Job description

Position Title: Data Analyst

Location: Arlington, VA (Remote)

Clearance Level: Secret

Responsibilities will include, but are not limited to:

  • Analyze military operational data to identify trends, patterns, and anomalies that can inform strategic decision-making.
  • Clean, and preprocess large datasets related to Army operations, logistics, personnel, and intelligence for analysis.
  • Develop dashboards and reports to visualize key performance indicators and metrics for Army leadership.
  • Perform geospatial analysis to support mission planning, resource allocation, and situational awareness.
  • Conduct data mining and exploratory data analysis to extract insights from diverse military datasets.

Required qualifications

  • Bachelor’s Degree in related field of study or equivalent experience.
  • Minimum of three years of experience, one within DoD, working with big-data systems and developing production-level data models.
  • Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers.
  • Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills.
  • Have a strong data science, machine learning, and statistical modeling background.
  • Communicate complex technical findings to a variety of audiences.
  • Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. Prior knowledge of Power BI, Tableau, and Advana data science is preferred.