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Data Optimization Analyst Jobs in Virginia (NOW HIRING)

Beyond SOF

Data Quality Analyst (TS/SCI)

Reston, VA · On-site

Data Quality Analyst (TS/SCI) * Reston, VA, USA * Full-time * Clearance: Top Secret/SCI Contribute ... data optimization. Prioritize, deconflict and craft backlog requirements for a team of data ...

Beyond SOF

Data Quality Analyst (TS/SCI)

Reston, VA

Data Quality Analyst (TS/SCI) * Reston, VA, USA * Full-time * Clearance: Top Secret/SCI Contribute ... data optimization. Prioritize, deconflict and craft backlog requirements for a team of data ...

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

... optimization techniques such as materialized views and context-aware data engineering. This role ... Implement data transformation logic to support analytics, reporting, and regulatory use cases.

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by ... Implement indexing, partitioning, and query optimization strategies * Monitor and troubleshoot data ...

KDA Consulting Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by ... Implement indexing, partitioning, and query optimization strategies * Monitor and troubleshoot data ...

KDA Consulting Inc

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by ... Implement indexing, partitioning, and query optimization strategies * Monitor and troubleshoot data ...

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by ... Implement indexing, partitioning, and query optimization strategies * Monitor and troubleshoot data ...

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Data Optimization Analyst information

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

To thrive as a Data Optimization Analyst, you need strong analytical abilities, expertise in data modeling, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Python, R, and optimization platforms like Tableau or Power BI, as well as certifications in data analytics, are commonly required. Exceptional problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These competencies are crucial for transforming complex data into actionable business insights and driving process improvements.

What are Data Optimization Analysts?

Data Optimization Analysts are professionals who specialize in improving the efficiency and effectiveness of data processes within an organization. Their work involves analyzing large datasets, identifying areas for improvement, and implementing strategies to optimize data collection, storage, and usage. They use statistical tools and data modeling techniques to ensure data quality and support better decision-making. Data Optimization Analysts often collaborate with data engineers, business analysts, and IT teams to streamline workflows and maximize the value derived from data assets.

What is the difference between Data Optimization Analyst vs Data Analyst?

AspectData Optimization AnalystData Analyst
Primary FocusImproving data processes and optimizing data workflows for better efficiencyAnalyzing data to identify trends and generate reports
Skills & CertificationsData management, SQL, data modeling, problem-solvingData analysis, Excel, SQL, visualization tools
Work EnvironmentData teams, IT departments, business unitsBusiness, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, retailAlmost all industries including marketing, finance, healthcare

While both roles involve working with data, Data Optimization Analysts focus on enhancing data processes and workflows to improve efficiency, whereas Data Analysts primarily interpret data to support decision-making. Understanding these differences helps in choosing the right career path or job search focus.

How does a Data Optimization Analyst typically collaborate with other departments to improve business outcomes?

A Data Optimization Analyst regularly works cross-functionally with teams such as marketing, operations, and IT to identify inefficiencies and recommend data-driven solutions. They gather requirements from stakeholders, analyze complex datasets, and present actionable insights that align with business goals. Effective communication and teamwork are essential, as analysts often need to translate technical findings into practical recommendations for non-technical colleagues. This collaborative approach ensures that data initiatives drive measurable improvements across different areas of the organization.
What are popular job titles related to Data Optimization Analyst jobs in Virginia? For Data Optimization Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Optimization Analyst jobs in Virginia look for? The top searched job categories for Data Optimization Analyst jobs in Virginia are:
Data Optimization Analyst jobs near you
Infographic showing various Data Optimization Analyst job openings in Virginia as of June 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 89% In-person, and 11% Hybrid job distribution.

Data & Optimization Analyst - Engineering

Quest Consulting, Inc.

Chantilly, VA • On-site

$90K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

We are seeking a Data & Optimization Analyst / Engineer to become an integral part of our team! You will collect, organize, and analyze data to build dashboards and reports that give leadership the ability to make quick decisions on personnel, contract, cost, and risk impacts in a satellite operations environment.

Responsibilities:

  • Use a combination of technical, personnel, and financial data to understand and predict future operational needs
  • Analyze internal and external data through quantitative research. This will involve traveling to operations centers to ensure data collection is accurate and well understood
  • Communicate findings through reports, dashboards, and mission engineering threads
  • Promote best practices in data analysis and reporting
  • Collaborate with a diverse set of stakeholders to bridge gaps between technical, financial, and contractual teams

Qualifications:

  • Strong problem solving and critical thinking skills
  • Strong attention to detail
  • Ability to prioritize and multitask
  • Previous experience in business intelligence / analysis, systems engineering, engineering cost estimating, mathematical modeling and optimization, statistical analysis, or other related field
  • Ability to present and communicate data-driven observations and trends to stakeholders through briefings and dashboards

Company Description

Quest exists because of the expertise and work ethic of our employees. We are a team of individuals with diverse and expansive skill sets, with experience in a wide range of analytical services across several organizations