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Master Data Analyst Jobs in Virginia (NOW HIRING)

Omm IT Solutions

Data & Product Analyst

Mclean, VA · On-site

SQL and relational databases such as SQL Server, Sybase, MySQL, or Snowflake, Master Data Management (MDM), ETL/ELT workflows. * SQL, MDM, and Product Analytics is a must. Need additional candidates ...

Omm IT Solutions

Data & Product Analyst

Mclean, VA · On-site

SQL and relational databases such as SQL Server, Sybase, MySQL, or Snowflake, Master Data Management (MDM), ETL\/ELT workflows. \n * SQL, MDM, and Product Analytics is a must. Need additional ...

TheStaffed

Data & Product Analyst

Mclean, VA · On-site

Our client is seeking a highly analytical Data & Product Analyst with strong experience across SQL, product analytics, ETL processes, master data management, and enterprise data governance to support ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field * Minimum 10 years of professional experience in data science or advanced analytics * Experience with ...

i360technologies, Inc.

Support audit requests by participating in meetings and providing documentation and data. * Coordinate with Tier 2, the functional and program leads, and the client program office on escalations and ...

Geo Owl

Data Analyst

Springfield, VA · On-site

As the Data Analyst on NGA Maven, you'll dig into complex geospatial datasets, surface patterns and ... Education: Associate's = 2 pts • Bachelor's = 3 pts • Master's = +2 pts • PhD = +3 pts

Geo Owl

Data Analyst

Springfield, VA · On-site

As the Data Analyst on NGA Maven, you'll dig into complex geospatial datasets, surface patterns and ... Education: Associate's = 2 pts · Bachelor's = 3 pts · Master's = +2 pts · PhD = +3 pts

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field * Minimum 10 years of professional experience in data science or advanced analytics * Experience with ...

i360technologies, Inc.

Support audit requests by participating in meetings and providing documentation and data. * Coordinate with Tier 2, the functional and program leads, and the client program office on escalations and ...

Sigmatech, Inc.

Data Analyst

Arlington, VA · Hybrid

Position Overview As a Data Analyst, you will lead complex analytical projects and advise IAD ... Certified Scrum Master (CSM) or formal training in AI, machine learning, or advanced business ...

Cymertek

Data Analyst

Tysons, VA · On-site

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Collect and organize raw data * Analyze and interpret ...

Cymertek

Data Analyst

Chantilly, VA · On-site

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Collect and organize raw data * Analyze and interpret ...

Cymertek

Data Analyst

Reston, VA · On-site

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Collect and organize raw data * Analyze and interpret ...

Capital One

Principal Data Analyst

Mclean, VA · On-site

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Master's Degree in a Science, Technology, Engineering, Mathematics discipline * At least 4 years of ...

Capital One

Principal Data Analyst

Mclean, VA

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Master's Degree in a Science, Technology, Engineering, Mathematics discipline * At least 4 years of ...

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All JobsMaster Data Analyst JobsMaster Data Analyst Jobs in Virginia

Master Data Analyst information

See Virginia salary details

$19

$43

$76

How much do master data analyst jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for master data analyst in Virginia is $43.97, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $54.81 per hour, depending on experience, location, and employer.

What are Master Data Analysts?

Master Data Analysts are professionals responsible for managing and maintaining an organization's critical business data, often referred to as 'master data.' This includes key information about customers, products, suppliers, and other core business entities. Their work ensures that data is accurate, consistent, and accessible across different departments and systems. Master Data Analysts also help establish data governance standards, support data integration projects, and troubleshoot data quality issues to support business operations and decision-making.

How does a Master Data Analyst typically collaborate with other departments to maintain data quality?

A Master Data Analyst regularly works with teams such as IT, finance, supply chain, and operations to ensure data consistency and integrity across systems. This collaboration often involves participating in cross-functional meetings, clarifying data requirements, and resolving discrepancies in master data. Effective communication and problem-solving skills are essential, as the analyst serves as a bridge between technical and business stakeholders to implement data governance policies and improve data processes.

What Does a Master Data Analyst Do?

A master data analyst monitors and examines master and key data within a company or organization. As a master data analyst, your job duties include developing databases to support business goals, implementing standards for collecting and storing data, and using data to gain key business insights. The career typically requires a bachelor’s degree in IT, data science, or a related field and work experience in data analysis or software programming. Additional qualifications include strong analytical and computer skills, as well as an understanding of database architecture.

Is a master's in data analysis worth it?

For a Master Data Analyst, obtaining a master's degree in data analysis can enhance technical skills, such as proficiency in SQL, Python, and data visualization tools, and may improve job prospects and salary potential. However, practical experience and certifications like Certified Analytics Professional (CAP) can also be valuable in this field. The decision depends on career goals and the specific requirements of employers in data analysis roles.

Is 40 too late for data science?

For a Master Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data science roles later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Experience and continuous learning are valued more than age in the data industry.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but a Master Data Analyst's role involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment and domain expertise. AI tools are valuable for enhancing efficiency but are unlikely to fully replace skilled analysts who provide critical context and nuanced analysis.

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

To thrive as a Master Data Analyst, you need a strong background in data management, analytics, and a relevant degree such as computer science, information systems, or business. Familiarity with data management tools like SAP, Oracle, SQL, and experience with data governance frameworks or related certifications are typically required. Excellent attention to detail, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are critical for ensuring data accuracy, supporting business decisions, and maintaining consistent data standards across the organization.

What can I do with a master's in data analysis?

A master's in data analysis prepares individuals for roles such as Master Data Analyst, Data Scientist, or Business Intelligence Analyst, involving tasks like data cleaning, statistical analysis, and reporting. It often requires proficiency in tools like SQL, Python, or R and understanding of data management systems. Graduates can work in various industries including finance, healthcare, and technology, often in environments that emphasize data-driven decision making.

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

AspectMaster Data AnalystData Analyst
CredentialsBachelor's degree in data-related field; certifications like CDMP or DAMA often preferredBachelor's degree in statistics, mathematics, or related field; certifications are optional
Work EnvironmentFocus on managing and maintaining master data across departmentsAnalyze data sets to generate reports and insights for decision-making
Industry UsageCommon in organizations with complex data management needsWidespread across various industries for data analysis tasks

The main difference is that a Master Data Analyst specializes in managing and maintaining core organizational data, ensuring data quality and consistency. In contrast, a Data Analyst primarily focuses on analyzing data to support business decisions. Both roles require strong analytical skills, but the Master Data Analyst emphasizes data governance and integrity, often working closely with IT and data management teams.

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Master Data Analyst jobs near you
Infographic showing various Master Data Analyst job openings in Virginia as of July 2026, with employment types broken down into 43% Full Time, 8% Part Time, and 49% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $91,456 per year, or $44 per hour.

Data & Product Analyst

Omm IT Solutions

Mclean, VA • On-site

Full-time

Re-posted 15 days ago

Job description


PLEASE NOTE:
  • It is a 100% Onsite position in McLean, VA

KEY REQUIRED SKILLS:
  • SQL and relational databases such as SQL Server, Sybase, MySQL, or Snowflake, Master Data Management (MDM), ETL/ELT workflows.
  • SQL, MDM, and Product Analytics is a must. Need additional candidates in the pipeline.

JOB DESCREIPTION:
As a Data & Product Analyst, you will play a critical role in transforming enterprise data into meaningful insights that drive product strategy, business performance, and operational excellence. You will collaborate with product managers, business stakeholders, data engineers, architects, and QA teams to analyze complex datasets, improve data quality, support Master Data Management (MDM) and data governance initiatives, and deliver actionable analytics within the mortgage domain. The ideal candidate is highly analytical, proficient in SQL, and experienced in enterprise data management and product analytics.
KEY RESPONSIBILITIES:
  • Analyze large and complex datasets to identify trends, patterns, anomalies, and business opportunities across product and mortgage domains.
  • Design, develop, and maintain dashboards, KPIs, scorecards, and analytical reports to support business and product decision-making.
  • Write, optimize, and maintain advanced SQL queries, stored procedures, functions, and validation scripts across enterprise databases.
  • Collaborate with product managers, business stakeholders, data engineers, architects, and QA teams to support product analytics, ETL validation, and enterprise data initiatives.
  • Support Master Data Management (MDM) implementation and maintenance to ensure data consistency, accuracy, and integrity across enterprise systems.
  • Contribute to enterprise data governance initiatives by improving data quality, metadata management, and data lineage practices.
  • Translate business requirements into analytical solutions and provide data-driven recommendations to technical and non-technical stakeholders.
  • Perform ETL/ELT data validation and reconciliation to ensure data accuracy throughout the data lifecycle.
  • Monitor product performance metrics and identify opportunities to improve customer experience and business outcomes.
  • Participate in Agile ceremonies and contribute to continuous improvement of analytics and reporting processes.

Requirements
REQUIRED SKILLS:
  • 8+ years of experience as a Data Analyst, Product Analyst, Business Data Analyst, or a similar analytics role.
  • Strong expertise in SQL with experience writing complex queries, joins, CTEs, window functions, stored procedures, and performance optimization.
  • Experience working with relational databases such as SQL Server, Sybase, MySQL, or Snowflake.
  • Hands-on experience with Master Data Management (MDM), ETL/ELT processes, and enterprise data governance practices.
  • Strong understanding of data quality, data validation, metadata management, and data lineage concepts.
  • Experience developing dashboards, KPIs, scorecards, and analytical reports for business and product teams.
  • Knowledge of mortgage business processes and the role of data in supporting operational and strategic business functions.
  • Strong analytical, problem-solving, and stakeholder management skills with the ability to translate business requirements into data-driven solutions.
  • Experience collaborating with cross-functional teams including Product Management, Engineering, Architecture, QA, and Business stakeholders.
  • Excellent communication and presentation skills with the ability to explain complex data insights to diverse audiences.
  • Experience working in Agile or fast-paced software development environments.

PREFERRED QUALIFICATION:
  • Experience working with Snowflake or other cloud-based data platforms.
  • Familiarity with Informatica, Talend, or other enterprise ETL and data integration tools.
  • Experience with product analytics, feature adoption analysis, product health metrics, and digital product optimization.
  • Knowledge of A/B testing, experimentation frameworks, and customer behavior analytics.
  • Understanding of enterprise data governance frameworks, metadata management, and data quality best practices.
  • Previous experience in the mortgage, banking, financial services, or other regulated industries is preferred.
  • Exposure to business intelligence and data visualization tools such as Tableau, Power BI, or similar platforms is a plus.

Apply