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Reference Data Analyst Jobs (NOW HIRING)

... 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 ...

Summary The Data Analyst II will support implementation, administration, configuration, and ... reference data systems, database queries and scripts. * Program and maintain clinical, research ...

Summary The Data Analyst II will support implementation, administration, configuration, and ... reference data systems, database queries and scripts. * Program and maintain clinical, research ...

Data Analyst - Senior

Bothell, WA · On-site

$97K - $122K/yr

Job Code - Senior Data Analyst Work Location - 20205 NORTH CREEK PKWY Bothell WA 98011 Duration - 1 ... Has experience with extract and cross-reference data from warehouses using SQL and other internal ...

Senior Business ANalyst Corporate Action Platform Organization and Department Overview: * The ... of reference data to company's clients across the Institutional * Client Services (ICG ...

The Data Analyst is the single point of accountability for the accuracy, integrity, and consistency ... Own master and reference data (customers, products, pricing, equipment) so a single source of truth ...

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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 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.
Data Governance Analyst

Data Governance Analyst

Avani Technology Solutions, Inc.

Scottsdale, AZ • On-site

Full-time

Re-posted 23 days ago


Job description

Position : Data Governance Analyst
Location : Scottsdale, AZ
Duration : 18 Months
Top Three Skills:
1. Driving Data Governance for the program
2. Data Validation and Business Rules
3. Analysis/Data Quality
Job Description:
A data governance analyst performs a variety of tasks related to governance policies, process and standards. A data governance analyst will be responsible for data definitions, root cause analysis of data issues, reference data management, and mitigation of downstream impacts associated with a project/program. A data governance analyst will approve data exceptions and data quality metrics.
Required Experience/Skills
1. Experience with Insurance or Financial Services preferred
2. Working with business decision making models
3. Data centric with a passion toward data including, data quality issue resolution, defining business definitions, enforcement of data governance policies, process, and standards, and experience working with multiple partners to ensure data quality
4. Data Governance - Acted as a data governance professional, data steward, data custodian, or other data role
5. Data Analysis - Experience as data analyst in one of the following situations:
a. Analytically Intensive - Intended to confirm the common understanding of the data.
b. Operationally Data Intensive - Intended to approve authoritative data sources that are essential to core transactional processing
c. Data Integration Intensive - Intended to confirm the common understanding data being integrated and mitigate downstream impacts
1. Taxonomy - Term definitions, hierarchy and metadata
2. Communication - Facilitator, influencing, negotiation and building partnerships between teams or business units.
3. Experience with different applications to effectively present the findings whether it is through use of charts, graphs or specialized tools.
4. 5+ years in data governance analysis with experience listed above. Above plus demonstrated leadership, communication and influencing skills relative to program and organizational level efforts.