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Reference Data Analyst Jobs (NOW HIRING)

Factset

Market & Reference Data Manager

Norwalk, CT

Our data powers trading, risk, portfolio management, analytics, and regulatory processes-spanning real-time and delayed pricing, standardized symbology, and reference datasets across global asset ...

htna

Master Data Analyst

Milwaukee, WI

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

FactSet

Market & Reference Data Manager

Norwalk, CT · On-site

Our data powers trading, risk, portfolio management, analytics, and regulatory processes-spanning real-time and delayed pricing, standardized symbology, and reference datasets across global asset ...

Factset

Market & Reference Data Manager

Boston, NY

Our data powers trading, risk, portfolio management, analytics, and regulatory processes-spanning real-time and delayed pricing, standardized symbology, and reference datasets across global asset ...

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Reference Data Analyst information

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$82.6K

$136K

How much do reference data analyst jobs pay per year?

As of Jun 23, 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.
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Reference Data Analyst jobs near you
Infographic showing various Reference Data Analyst job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Manager, Reference Data Operations

Manager, Reference Data Operations

Intercontinental Exchange Holdings, Inc.

Jacksonville, FL

Full-time

Posted 28 days ago

Job description

Overview

Job Purpose

The ICE Data Services Operations team offers technical expertise, customer service, and innovative tools to support global functions throughout the organization. Systems, Network, Trade Operations, Internal IT Support, Information Security, Client Services, and Data Centers all enable our business to run smoothly, securely, and efficiently.

In Global Business Operations (GBO), the primary purpose of this position is to research, analyze, interpret, transform, and present reference data for security and companylevel reference data for all global markets. GBO is responsible for maintaining reference data for millions of securities and companies, which is then incorporated into our clients' workflows to make investments, clear and settle trades, manage portfolios, analyze risk, maintain security master files, create client statements, meet regulatory requirements, and more.

As a member of the Reference Data Operations team within GBO, you will help ensure ICE provides customers with highly accurate and timely evaluations.

Responsibilities

  • Manage daytoday operations for a team or area within GBO, ensuring reference data accuracy, operational compliance, efficiency, and effective use of modern productivity and AIenabled tools where applicable.
  • Identify operational issues and develop plans to resolve them, including recommending automation or AIsupported process improvements to enhance quality and reduce risk.
  • Lead initiatives with strategic direction from senior leaders, including project planning, monitoring execution, and supporting technologydriven operational enhancements.
  • Contribute to adhoc research and process optimization efforts, leveraging data analysis and AIassisted insights where beneficial.
  • Demonstrate strong knowledge of reference data and how the team's deliverables impact broader organizational goals, including opportunities to integrate advanced technologies into workflows.
  • Suggest system enhancements and workflow improvements, including automation, quality controls, and efficiencydriven solutions enabled by emerging technologies.
  • Mentor and develop junior colleagues, promoting knowledge sharing and effective adoption of new tools and methodologies.
  • Interact frequently with internal and external stakeholders to resolve complex issues and maintain strong working relationships.
  • Monitor reference data systems, investigate data issues, and resolve operational challenges using analytical and diagnostic tools, including AIassisted capabilities where appropriate.
  • May manage work of junior analysts and oversee workflow without formal management responsibilities.
  • Provide subject matter expertise, support, and problemresolution strategies to internal and external customers.
  • Participate in hiring, training, onboarding, and resource allocation.

Knowledge and Experience

  • Bachelor's degree or MBA Finance, PGDM Finance, MCom, or MFM degree; or 7+ years' experience.
  • Excellent attention to detail with strong decisionmaking and problemsolving skills.
  • Ability to distil substantial amounts of information into meaningful takeaways.
  • Excellent written and oral communication skills with the ability to produce clientready communications.
  • Ability to work in a fastpaced, highpressure, dynamic environment.
  • Preferred: Experience with AI tools, automation frameworks, or the implementation of technologydriven process improvements within operations.

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----------Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Employment Type: FULL_TIME

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