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Reference Data Analyst Jobs (NOW HIRING)

htna

Master Data Analyst

Milwaukee, WI · Hybrid

Ensure adherence to master data policies, naming standards, hierarchies, and reference data ... Monitor and analyze master data quality, identifying issues related to completeness, accuracy ...

Munich RE

Data Governance Analyst

Manhattan, NY · On-site

$114K/yr

Data Governance Analyst Location: New York, New York, United States Job Type: Full-Time Salary ... Manage both existing and to be defined reference data sets through the further development of ...

New

MARS Solutions Group

Financial Data Analyst

Boston, MA · On-site

The ideal candidate understands the complexities of financial reference data and can bridge the gap ... Data Analysis & Cleanup: * Analyze large datasets of security and benchmark data (Equities, Fixed ...

Munich Re

Data Governance Analyst

Manhattan, NY · On-site +1

$114K/yr

Data Governance Analyst Location: New York, New York, United States Job Type: Full-Time Salary ... Manage both existing and to be defined reference data sets through the further development of ...

New

GMO

Data Platform Analyst

Boston, MA · On-site

$80/hr

This role offers an opportunity for a seasoned Analyst to leverage their financial reference data and enterprise data platforms experience to evolve GMO's security master data and portfolio data ...

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Reference Data Analyst information

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$34K

$82.6K

$136K

How much do reference data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for reference data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a reference data analyst?

Reference Data Analysts are professionals who manage and maintain the accuracy, consistency, and integrity of reference data within an organization. Reference data includes standardized information such as customer IDs, product codes, geographic locations, and other essential data used across multiple systems. These analysts ensure that this data is properly categorized, up-to-date, and aligned with regulatory requirements, supporting business operations and decision-making. Their role often involves data validation, cleansing, quality checks, and collaborating with various departments to resolve data discrepancies.

What are the key skills and qualifications needed to thrive as a reference data analyst?

To thrive as a Reference Data Analyst, you need strong analytical skills, attention to detail, and a background in finance, business, or information systems. Familiarity with data management tools such as SQL, Excel, and reference data systems like Bloomberg or Reuters, as well as data governance frameworks, is typically required. Strong communication, problem-solving abilities, and stakeholder management are vital soft skills in this role. These competencies ensure accurate data maintenance, support regulatory compliance, and facilitate effective decision-making within financial organizations.

What is the difference between Reference Data Analyst vs Data Quality Analyst?

AspectReference Data AnalystData Quality Analyst
Required CredentialsBachelor's in Data Management, IT, or related field; certifications like CDMPBachelor's in Data Science, IT, or related; certifications like CDMP or DAMA
Work EnvironmentFinancial institutions, healthcare, retail; focus on maintaining reference dataVarious industries; focus on assessing and improving data accuracy
Employer & Industry UsageUsed in organizations managing master/reference dataUsed across industries to ensure data integrity and quality

The main difference is that Reference Data Analysts focus on managing and maintaining reference data sets used across systems, while Data Quality Analysts evaluate and improve the overall accuracy and integrity of data. Both roles require similar skills and certifications but serve different aspects of data management.

What are some common challenges reference data analysts face when maintaining data accuracy across multiple systems?

Reference Data Analysts often encounter the challenge of ensuring data consistency and integrity across various platforms and departments. Discrepancies can arise due to differences in data formats, frequent updates, or incomplete information from upstream sources. To address these issues, analysts frequently collaborate with IT, operations, and business teams to implement validation checks, resolve discrepancies, and establish standardized data governance practices. Being detail-oriented and proactive in communication is essential for success in this role.
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Reference Data Analyst jobs near you
Infographic showing various Reference Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Data Analyst - Master Data Management (MDM)

TheStaffed

Mclean, VA • On-site

$86K - $109K/yr

Contractor

Posted 21 days ago

Job description

Our client is seeking a Senior Data Analyst - Master Data Management (MDM) to lead and support enterprise Master Data Management initiatives within the Multifamily Mortgage business. This role combines technical expertise in data engineering and governance with strategic partnership across business and technical stakeholders to design scalable, enterprise-grade data solutions.
Responsibilities & Qualifications
  • Lead MDM initiatives and partner with business stakeholders, data stewards, architects, and engineering teams to define and govern critical data domains across the enterprise
  • Analyze complex business processes and translate requirements into scalable data management, governance, and reference data solutions
  • Design, develop, and optimize advanced SQL queries, ETL processes, and data pipelines to support enterprise reporting and analytics
  • Develop and maintain enterprise data quality rules, validation processes, and monitoring frameworks to ensure data integrity
  • Create and support MDM implementation roadmaps with defined milestones, dependencies, risk assessments, and success metrics
  • Collaborate with cloud engineering teams to architect AWS-based solutions for scalable and secure data integration
  • Support enterprise data governance initiatives, including metadata management, data lineage, business glossary development, and reference data management
  • Present analytical insights and recommendations to technical and non-technical stakeholders; mentor junior team members on data best practices

Requirements
  • 8-10 years of professional experience in data analytics, data engineering, or Master Data Management
  • Advanced SQL proficiency and hands-on expertise with ETL processes and data pipeline design
  • Strong experience with AWS cloud technologies and cloud-based data architectures
  • Demonstrated expertise in MDM platforms, enterprise data governance, and metadata management
  • Solid understanding of data quality frameworks, reference data management, and data validation strategies
  • Excellent stakeholder management and communication skills; ability to translate technical concepts for non-technical audiences
  • Experience mentoring team members and fostering a data governance culture within organizations

Apply