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Reference Data Analyst Jobs (NOW HIRING)

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 ...

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 ...

Data Platform Analyst

Boston, MA · Hybrid

$155K - $170K/yr

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 ...

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 ...

Analysis of business processes to understand current setup, navigating through multiple systems ... Reference Data experience a major plus * Use case documentation a plus About Client: * Client is a ...

You don't just pull data; you interpret results, cross-reference data quality, spot the "bad data ... Deep-Dive Analysis: Immerse yourself in the client's complex financial datasets, applying advanced ...

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Reference Data Analyst information

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$34K

$82.6K

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How much do reference data analyst jobs pay per year?

As of Jul 20, 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 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 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 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.
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:
Infographic showing various Reference Data Analyst job openings in the United States as of July 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 57% In-person, and 43% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Reference Data Product Senior Associate

Reference Data Product Senior Associate

JPMorgan Chase & Co

Columbus, OH • On-site

Full-time

Medical, Retirement

Re-posted yesterday


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks


Job description


Join a team at the center of financial data and analytics. You will play a key role in ensuring data is accurate, governed, and ready to support business decisions. This role offers the opportunity to work across teams, improve data quality, and contribute to critical finance processes.


As a Reference Data Product Senior Associate in the Planning and Analysis team, you support enterprise reference data used for forecasting, reporting, and analytics. You partner with business stakeholders and technology teams to ensure data is accurate, governed, and fit for purpose. You help deliver and operate reference data across key domains while driving data quality, governance, and continuous improvement initiatives.

Job Responsibilities

  • Partner with stakeholders to gather, document, and validate requirements for reference data enhancements and issue resolution
  • Translate business needs into user stories, functional specifications, and acceptance criteria
  • Lead and coordinate testing activities, including planning, execution, and defect management
  • Perform and oversee recurring operational processes such as data validation, exception review, and reporting
  • Monitor and improve data quality across domains, including completeness, accuracy, and consistency
  • Manage the lifecycle of data issues, including root-cause analysis and stakeholder communication
  • Maintain and enhance reference data documentation, including definitions, hierarchies, and mappings
  • Partner across finance, risk, operations, and technology teams to standardize data structures and usage
  • Support onboarding of new data consumers and updates to existing data structures
  • Contribute to initiatives that enhance scalability, controls, and governance of data platforms

Required Qualifications, Capabilities, and Skills

  • Bachelor's degree in finance, business, information systems, or a related field, or equivalent experience
  • 3+ years of experience in business analysis, data analysis, or data operations
  • Strong experience in requirements gathering, documentation, and stakeholder management
  • Experience supporting testing activities and managing defects in a structured delivery environment
  • Proficiency in SQL for data analysis and troubleshooting
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent written and verbal communication skills with the ability to work across business and technical teams

Preferred Qualifications, Capabilities, and Skills

  • Experience with reference or master data concepts, including taxonomies and data governance
  • Familiarity with large-scale data platforms
  • Experience with data quality frameworks and performance monitoring
  • Experience working in agile environments using tools such as Jira or similar platforms
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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