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Reference Data Analyst Jobs (NOW HIRING)

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

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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 May 29, 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 are the key skills and qualifications needed to thrive as a Reference Data Analyst, and why are they important?

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 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.

What are Reference Data Analysts?

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 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.

More about Reference Data Analyst jobs
What cities are hiring for Reference Data Analyst jobs? Cities with the most Reference Data Analyst job openings:
What states have the most Reference Data Analyst jobs? States with the most job openings for Reference Data Analyst jobs include:
Reference Data Product Analyst

Reference Data Product Analyst

JPMorgan Chase & Co

Columbus, OH

Full-time

Medical, Retirement

Posted 24 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

45th of 141 rated banks


Job description

The Reference Data Product Analyst supports the reference data needs of Firmwide Planning & Analysis (P&A) across forecasting, reporting, and analytics.  This role serves as a bridge between P&A stakeholders and data/technology teams, ensuring reference data requirements, quality, controls, lineage, and delivery are fit for purpose, well-governed, and scalable.  The analyst is responsible for day-to-day production support and for driving strategic initiatives related to P&A reference data domains, including Organization, Product, Balance Sheet Group, and others.
 

Key Responsibilities

  • Elicit, document, and validate business requirements for reference data enhancements and defect remediation.
  • Translate needs into clear user stories, functional requirements, acceptance criteria, and process flows.
  • Support agile delivery (backlog refinement, sprint activities, release readiness) and coordinate UAT (test cases, execution, defect triage).
  • Perform monthly operational tasks including data validation checks, exception reviews, control evidence, and recurring reporting/metrics.
  • Investigate data issues using SQL; partner with technology and stakeholders to drive root-cause remediation.
  • Identify recurring break patterns and drive root-cause analysis with upstream providers and technology.
  • Maintain domain documentation (definitions, hierarchies, mappings, procedures/runbooks) aligned to governance standards.
  • Collaborate across Finance/Risk/Operations/Technology to standardize taxonomy and ensure consistent consumption.

Required Qualifications

  • Bachelor's degree or equivalent experience.
  • 2-4 years' experience in business analysis, data analysis, or data operations (reference/master data preferred).
  • Strong requirements writing, stakeholder management, and testing/UAT support experience.
  • Working knowledge of SQL for data validation and troubleshooting.

Preferred Qualifications

  • Databricks experience (preferred) and familiarity with large-scale data platforms.
  • Knowledge of reference data concepts (taxonomies, hierarchies, mappings) and data quality controls/metrics.
  • Exposure to data quality/control frameworks (metrics, SLAs, reconciliations, exceptions).
  • Experience in agile delivery environments and tooling (e.g., Jira/Confluence or similar).
     
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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