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Executive Data Analyst Jobs in Springfield, VA (NOW HIRING)

Performance/Data Analyst III Location: Washington, DC / DOJ Facilities / JMD OCIO / NCC Clearance ... Produce executive, operational, congressional, and interagency performance reports. * Conduct ...

The Headquarters Data Analyst will serve as a central analytical resource supporting the enterprise ... and executive briefing materials for senior government leadership. * Support the Senior Program ...

Experience developing executive-level dashboards and operational reporting solutions. * Familiarity with data visualization, predictive analytics, or statistical modeling techniques. * Experience ...

The Headquarters Data Analyst will serve as a central analytical resource supporting the enterprise ... and executive briefing materials for senior government leadership. * Support the Senior Program ...

Performance/Data Analyst III Location: Washington, DC / DOJ Facilities / JMD OCIO / NCC Clearance ... Produce executive, operational, congressional, and interagency performance reports. * Conduct ...

Senior Data Analyst

Mclean, VA · On-site

$87K - $110K/yr

Role Summary We are seeking a Senior Data Analytics Contractor to deliver end-to-end analytics ... deliver executive-ready insights through Tableau and Power BI. You will also leverage Microsoft ...

The Headquarters Data Analyst will serve as a central analytical resource supporting the enterprise ... and executive briefing materials for senior government leadership. * Support the Senior Program ...

... Analyst with an active Top Secret or TS/SCI security clearance to support the Office of the ... executive-level decision-making. The successful candidate will maintain and enhance data ...

... executive-level decision-making. The successful candidate will maintain and enhance data ... Candidates with strong analytical skills and a willingness to learn these technologies are ...

... Analyst with an active Top Secret or TS/SCI security clearance to support the Office of the ... executive-level decision-making. The successful candidate will maintain and enhance data ...

... Analyst with an active Top Secret or TS/SCI security clearance to support the Office of the ... executive-level decision-making. The successful candidate will maintain and enhance data ...

Showing results 41-60

Executive Data Analyst information

See Springfield, VA salary details

$35.5K

$86.3K

$142.1K

How much do executive data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for executive data analyst in Springfield, VA is $86,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $101,300.00 per year, depending on experience, location, and employer.

What is an executive data analyst?

Executive Data Analysts are highly skilled professionals who collect, analyze, and interpret complex data to support strategic decision-making at the executive level. They transform raw data into actionable insights, often preparing reports and presentations for senior leadership. Their work helps organizations identify trends, forecast outcomes, and make data-driven decisions that align with business goals. Executive Data Analysts typically have strong analytical, technical, and communication skills, and frequently collaborate with executives, managers, and other stakeholders.

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

To thrive as an Executive Data Analyst, you need expertise in data analysis, statistical modeling, and business intelligence, often supported by a bachelor's or master's degree in a quantitative field. Proficiency with tools like SQL, Python, R, and advanced data visualization platforms such as Tableau or Power BI is typically required, along with relevant certifications. Strong communication, critical thinking, and presentation skills help you translate complex data insights for executive decision-makers. These skills are crucial for driving strategic initiatives and enabling data-driven decision-making at the highest organizational levels.

What is the difference between Executive Data Analyst vs Data Scientist?

AspectExecutive Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, business, or related field; often certifications in data toolsBachelor's or master's in data science, statistics, or related; often advanced certifications
Work EnvironmentCorporate offices, business units, analytics teamsResearch labs, tech companies, analytics teams
Employer & Industry UsageBusiness, finance, marketing, healthcareTech, finance, e-commerce, research
Common Search & ComparisonYesYes

Executive Data Analysts focus on interpreting data to support business decisions, often with a managerial perspective. Data Scientists develop complex models and algorithms for predictive analytics. While both roles require strong analytical skills and familiarity with data tools, Data Scientists typically have more advanced technical expertise and education. The roles overlap in data analysis but differ in scope and technical depth.

What are some common challenges executive data analysts face when presenting insights to senior leadership?

Executive Data Analysts often encounter the challenge of translating complex data findings into clear, actionable insights for senior leadership. Communicating technical results in a concise and strategic manner, tailored to high-level business goals, requires strong storytelling and visualization skills. Additionally, balancing the need for data accuracy with tight deadlines and shifting priorities can be demanding. Collaborating closely with cross-functional teams, such as finance and operations, is essential to ensure recommendations are aligned with organizational objectives.
What are the most commonly searched types of Data Analyst jobs in Springfield, VA? The most popular types of Data Analyst jobs in Springfield, VA are:
What are popular job titles related to Executive Data Analyst jobs in Springfield, VA? For Executive Data Analyst jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Executive Data Analyst jobs in Springfield, VA look for? The top searched job categories for Executive Data Analyst jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Executive Data Analyst jobs? Cities near Springfield, VA with the most Executive Data Analyst job openings:
Infographic showing various Executive Data Analyst job openings in Springfield, VA as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $86,441 per year, or $41.6 per hour.

Performance/Data Analyst III

AITHERAS, LLC

Washington, DC • On-site

$100K - $120K/yr

Full-time

Re-posted 20 days ago


Job description

Performance/Data Analyst III
Location: Washington, DC / DOJ Facilities / JMD OCIO / NCC
Clearance / Background: U.S. Citizen required; active Secret clearance minimum; Top Secret/SCI eligibility strongly preferred
Experience Level: 6-10+ years
Role Summary
The Performance/Data Analyst III serves as a senior data science and analytics professional supporting DOJ JMD/OCIO and HSTF.
This role leads advanced analytics, machine learning modeling, network analysis, ETL development, Tableau dashboard enhancement, MIS data governance, and executive-level reporting.
Key Responsibilities
  • Lead advanced analytics, statistical modeling, machine learning, and network analysis for HSTF operational and strategic use cases.
  • Integrate, clean, and merge data from DOJ MIS, FBI, DEA, HSI, ATF, IRS-CI, USAO, and other partner systems.
  • Develop and maintain ETL pipelines for recurring ingestion and transformation of interagency datasets.
  • Build predictive models for investigative prioritization, case success probability, resource allocation, and operational impact.
  • Maintain, enhance, and potentially migrate automated Tableau dashboards.
  • Produce executive, operational, congressional, and interagency performance reports.
  • Conduct quarterly MIS data quality audits and develop audit dashboards with remediation recommendations.
  • Document schemas, data dictionaries, business rules, transformation logic, and analytical methodologies.
  • Identify automation opportunities, workflow optimizations, and reporting improvements.
  • Support transition-in and transition-out activities, preserving institutional knowledge and continuity of operations.
Required Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Analytics, Mathematics, Information Systems, or a related field.
  • 6+ years of applied data science, advanced analytics, BI, or performance measurement experience.
  • Active Secret clearance; ability to obtain or maintain Top Secret/SCI eligibility where required.
  • Expert-level SQL skills for extraction, transformation, analysis, and optimization.
  • Strong Python and/or R experience for statistical modeling, data processing, and automation.
  • Tableau dashboard development and performance reporting experience.
  • Experience with machine learning, predictive modeling, statistical analysis, or network analysis.
  • Experience integrating complex, multi-source, structured datasets.
  • Experience with law enforcement, intelligence, investigations, asset forfeiture, financial crimes, or federal operational data.
  • Strong understanding of data governance, quality assurance, privacy, and secure handling of sensitive information.
Preferred Qualifications
  • Active Top Secret, TS/SCI, or SCI eligibility.
  • Prior DOJ, DHS, FBI, DEA, ATF, HSI, IRS-CI, USAO, or federal law enforcement analytics experience.
  • Experience with criminal network analysis, link analysis, target prioritization, or financial flow analysis.
  • Experience with audit readiness, reconciliation, financial management reporting, or asset forfeiture programs.
  • Experience designing enterprise dashboards for executive and operational audiences.
  • Familiarity with NIST, FISMA, CUI, PII, DOJ privacy/security policies, and federal data standards.
  • Experience with Tableau Server, Power BI, SAS, Alteryx, Palantir, i2 Analyst's Notebook, Neo4j, ArcGIS, or cloud analytics platforms.
Tools / Technologies
Python, R, SQL, Tableau, Excel, DOJ MIS, ETL pipelines, predictive models, machine learning libraries, statistical analysis tools, dashboards, data dictionaries, data governance tools, Tableau Server, Power BI, SAS, Alteryx, network analysis tools, law enforcement datasets, and financial reporting systems.