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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 ...

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 ...

IL · On-site

Position Overview The Data Steward / Data Analyst supports the Sr. Data Steward in maintaining TRDM reference data quality, performing analysis, and supporting the data change request (DCR) process.

... lifecycle, master/reference data management, metadata management. * Ability to understand the ... Has strong analytic, problem solving and logical reasoning skills with high attention to detail and ...

Title: Investment Data Analyst Location: Boston, MA (Remote for good candidate but No PST ... Looking for a Sr. candidate with strong financial background, should have experience with Reference ...

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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 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.
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 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.
Business Analyst Vice President - Wholesale External Party Reference Data

Business Analyst Vice President - Wholesale External Party Reference Data

JP Morgan Chase

Newark, DE

Full-time

Medical, Retirement

Posted 18 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Help shape the data products that power client intelligence, operational efficiency, and data-driven capabilities across JPMorganChase. You will join a team responsible for foundational party and client reference data used across onboarding, servicing, and downstream consumption. If you are energized by leading through influence, driving clarity in ambiguous spaces, and improving data quality at scale, this role offers meaningful impact and growth.

As a Business Analyst Vice President at JPMorganChase within the Core Data Organization in the Commercial & Investment Bank, you will lead end-to-end business analysis for enhancements to the Master Data Management platform supporting wholesale external party reference data. You will partner with senior business and operational stakeholders to uncover needs, define priorities, and translate complex requirements into deliverables that strengthen data quality, support regulatory compliance, and improve onboarding and downstream processes. You will collaborate closely with product owners and technology partners to shape solutions, drive readiness for delivery, and ensure changes achieve measurable outcomes.

Job responsibilities

  • Lead stakeholder discovery and decisioning sessions to elicit, document, and validate business requirements, driving alignment on priorities, scope, and trade-offs
  • Own the end-to-end requirements lifecycle, including functional and non-functional requirements captured in product requirement documents, process documentation, and user stories
  • Drive current-state and future-state process mapping, gap analysis, and solution recommendations across stakeholder groups
  • Serve as a senior liaison between business stakeholders, product owners, and technology partners, translating business needs into functional requirements and supporting solution design
  • Perform data analysis to validate assumptions, quantify impacts, and inform reference data use cases and solution recommendations
  • Lead impact assessments for changes, including downstream process and data implications across onboarding, servicing, and reporting stakeholders
  • Support data governance standards through contributions to data stewardship, data lineage documentation, and data quality rule definition and monitoring
  • Partner with product and delivery teams to ensure backlog readiness, including drafting and refining epics, user stories, acceptance criteria, and supporting documentation
  • Coordinate User Acceptance Testing, including test strategy input, scenario definition, defect triage, and outcome validation
  • Support change management efforts, including training materials, end-user process documentation, and adoption support activities

Required qualifications, capabilities and skills

  • 5+ years of experience in a business analyst or equivalent requirements-focused role
  • 3+ years of experience within a financial services organization
  • Experience with Master Data Management and reference data, including enterprise Master Data Management platforms
  • Demonstrated experience leading cross-functional stakeholder engagement and driving alignment on requirements and outcomes
  • Strong written and verbal communication skills, including the ability to influence and present effectively to varied audiences
  • Proven problem-solving and decision-making skills, including structuring ambiguous problems and driving to practical outcomes
  • Experience creating product requirement documents, user stories, acceptance criteria, and process documentation that enables effective delivery
  • Experience performing impact assessments for process and data changes with downstream dependencies
  • Demonstrated willingness to learn and actively leverage firmwide artificial intelligence tools to enhance productivity and improve ways of working

Preferred qualifications, capabilities and skills

  • Experience supporting product ownership activities, including backlog refinement, story writing, and outcome-driven prioritization in an Agile environment
  • Experience with business process modeling techniques and tools, such as Business Process Model and Notation and common process mapping platforms
  • Familiarity with data governance frameworks, including data stewardship models or enterprise data management programs
  • Certified Business Analysis Professional or Certification of Capability in Business Analysis certification
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

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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