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Data Optimization Analyst Jobs in Virginia (NOW HIRING)

Bridge Core (BCore)

Geospatial Programmer

Mclean, VA

Big Data & Scalable Analytics - Distributed computing and large-scale data optimization * Data Engineering & Infrastructure - Scalable data pipeline development, performance optimization, and data ...

SAIC

Data Analyst - Space Manager

Springfield, VA · On-site

SAIC is seeking a Data Analyst - Space Manager for the integration and application of advanced data ... client), optimal seating arrangements, and special needs for emergencies at customer sites in ...

SimIS Inc.

Data Collector/Analyst (DHS)

Suffolk, VA · On-site

This role combines field data collection activities with sophisticated statistical analysis to support evidence-based recommendations for technology deployment and system optimization. The position ...

SimIS Inc.

Data Collector/Analyst (DHS)

Suffolk, VA · On-site

This role combines field data collection activities with sophisticated statistical analysis to support evidence-based recommendations for technology deployment and system optimization. The position ...

Redwire Space

Data Analyst, Lead

Chantilly, VA

The Data Analyst, Lead is responsible for defining, standardizing, and enabling enterprise ... Reporting Optimization * Identify gaps in reporting and data processes and drive improvements ...

Redwire Space

Data Analyst, Lead

Chantilly, VA · On-site

The Data Analyst, Lead is responsible for defining, standardizing, and enabling enterprise ... Reporting Optimization * Identify gaps in reporting and data processes and drive improvements ...

Redwire Space

Data Analyst, Lead

Chantilly, VA · On-site

The Data Analyst, Lead is responsible for defining, standardizing, and enabling enterprise ... Reporting Optimization * Identify gaps in reporting and data processes and drive improvements ...

TriOptus LLC

Workday Data Analyst

Richmond, VA · On-site

* Workday Data Analyst * Client is seeking a highly skilled Workday Data Analyst with deep expertise ... This role will focus on designing, building, and optimizing Workday reports and dashboards that ...

Framatome North America

AI Data Analyst

Lynchburg, VA · On-site

$85K - $116K/yr

By analyzing complex datasets, identifying trends, and developing AI-driven reporting and analytics ... Design and implement data preparation workflows optimized for: * LLM ingestion * Retrieval ...

Dev Technology

Senior Data Analyst

Vienna, VA

$86K - $108K/yr

Data Analyst #1043 In person position in Tysons Corner, VA 3 days per week Clearance: U.S ... optimization, IT and legacy modernization, and data management. As a Washington Post Top Workplace ...

ECS

Data Application Analyst - Journeyman

Fairfax, VA · On-site

ECS is seeking a Data Application Analyst - Journeyman to support the Army National Guard's mission ... Experience in optimizing application performance and ensuring system reliability. * Familiarity ...

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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.

Is 40 too late for data science?

A Data Optimization Analyst role requires strong analytical skills and familiarity with data tools, but age is not a barrier to entering data science or related fields. Many professionals successfully transition into data roles later in their careers by gaining relevant certifications and experience. Continuous learning and adapting to new technologies are key factors for success regardless of age.

What is a data optimization analyst?

A data optimization analyst is a professional who analyzes data to improve business processes, efficiency, and decision-making. They use tools like SQL, Excel, and data visualization software to identify patterns and implement strategies that enhance data quality and performance.

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.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can enhance efficiency, human expertise remains essential for interpreting results, understanding context, and making nuanced judgments in data analysis roles.

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.

Is a data analyst a well paid job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with experience and certifications. Overall, it is considered a well-paying role within the data field.
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.
Geospatial Programmer

Geospatial Programmer

Bridge Core (BCore)

Mclean, VA

Full-time

Posted 20 days ago

Job description

OverviewGeospatial ProgrammerMcLean, VATS/SCI with Poly 

At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. 

Do you want to join a team that is building tailored technical solutions to modernize our government's mission and our client's business?  Do you have a desire to change how people work?  Are you interested in helping to protect our nation's cyber interests? Join our growing team supporting customer missions as a Geospatial Programmer in McLean, Virginia.

Responsibilities
  • Developing custom code, scripts, modules, macro procedures, libraries, and dynamically linked libraries for geospatial analysis functions using Python to augment and analyze data
  • Providing ad-hoc support for writing scripts in Python and other coding languages to help automate geoprocessing of large datasets in response to analysts' needs. Instructing and assisting analysts in writing custom code and scripts as needed
  • Leveraging available computing resources to handle very large geospatial datasets, creating efficiencies in data management including data deduplication and reduction, streamlining geospatial data processing, and scaling processes from regional to global
Qualifications

Required Qualifications:   

  • Bachelor's degree in computer science, geography, or related area of study (relevant experience may be substituted for a degree)

  • Senior Labor Category: Minimum 8 years of experience with a Bachelor's degree; 7 years of experience with a Master's degree; or 6 years of experience with a Doctorate

  • Python Development & Automation - Scripting for data analysis, workflow automation, and application development

  • Data Modeling & Databases - Experience modeling geospatial data and working with relational databases (PostgreSQL preferred)

  • Geospatial & Image Processing - Spatial data analysis, image data extraction, and strong geospatial reasoning skills

  • Software & IT Support - Troubleshooting, system integration, and customer support

Desired Qualifications

  • Big Data & Scalable Analytics - Distributed computing and large-scale data optimization
  • Data Engineering & Infrastructure - Scalable data pipeline development, performance optimization, and data management best practices
  • Software Development Workflows - Experience with Git, Jira, and writing technical documentation
What you can expect from us

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

Employment Type: FULL_TIME

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