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Reference Data Jobs in Boston, MA (NOW HIRING)

Looking for a Sr. candidate with strong financial background, should have experience with Reference Data and Data Modeling (MDM experience will be huge) , and should have experience with CRM ( any CR ...

Snowflake Data Architect

Boston, MA · On-site

$69.25 - $89/hr

... Reference Data Management, and Metadata Management. • Customer-facing experience in a consulting or delivery capacity. • Analytical and problem-solving skills. • Acute attention to detail. • ...

Become a domain owner for key quant datasets (e.g., market data, fundamentals, corporate actions, identifiers/reference data) and develop a detailed understanding of their structure, lineage, and ...

New

Platform Engineering Lead, VP

Quincy, MA · On-site

$189K - $243K/yr

Define and evolve data architecture patterns for fund accounting, custody, and reference data domains, ensuring clear lineage from source systems through consumption layers * Partner with business ...

Showing results 21-40

Reference Data information

See Boston, MA salary details

$25.2K

$103.4K

$225.3K

How much do reference data jobs pay per year?

As of Sep 3, 2026, the average yearly pay for reference data in Boston, MA is $103,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,525.00 and $144,517.00 per year, depending on experience, location, and employer.

What is a reference data?

A Reference Data job involves managing and maintaining critical data sets that support business operations, typically in financial services, healthcare, or enterprise systems. Responsibilities include data governance, validation, enrichment, and ensuring consistency across systems. Professionals in this role work with various stakeholders to standardize data definitions, improve data quality, and support regulatory compliance. They may also use tools and databases to streamline data management and reporting.

What are the typical daily responsibilities for someone in a reference data position?

Professionals in Reference Data are responsible for managing and maintaining key business datasets, such as client, product, or security master information. Daily tasks often include data entry, validation, remediation of discrepancies, and ensuring data integrity across multiple systems. You’ll work closely with operations, compliance, and IT teams to resolve issues quickly and respond to data requests. Given the importance of accurate reference data to financial transactions and reporting, attention to detail and proactive troubleshooting are essential. This role offers opportunities to develop expertise in data governance and may lead to advancement in data management, analytics, or operations leadership.

What are the key skills and qualifications needed to thrive in the reference data position, and why are they important?

To thrive in a Reference Data role, you need strong analytical skills, attention to detail, and proficiency in managing large datasets, typically supported by a degree in finance, business, or information management. Familiarity with data management software such as Bloomberg, Reuters, or proprietary databases, and knowledge of SQL or data governance tools, are often required. Excellent communication, problem-solving abilities, and teamwork are key soft skills that help you collaborate effectively and resolve data discrepancies. These competencies ensure accurate, consistent, and reliable data that supports essential business operations and decision-making across the organization.

What cities near Boston, MA are hiring for Reference Data jobs?

Cities near Boston, MA with the most Reference Data job openings:

Infographic showing various Reference Data job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,397 per year, or $49.7 per hour.

Investment Data Analyst

MM International

Boston, MA • Remote

Contractor

Re-posted 25 days ago


Job description

Title: Investment Data Analyst

Location: Boston, MA (Remote for good candidate but No PST candidates)

Duration: 6+ months Contract

Video Interview

 

Job Description     

Note: Looking for a Sr. candidate with strong financial background, should have experience with Reference Data and Data Modeling (MDM experience will be huge), and should have experience with CRM ( any CRM like Salesforce or Siebel or Dynamics etc). Candidate can be remote but cannot take candidates in Pacific Timezone ( no PST candidates). Looking for a real time candidates with over 12+ years of experience. 

Description:

We are ready to engage a client analyst into the team. Providing a high-level description of what the role would be, but please keep in mind that this person will continue beyond CRM to be the primary support analyst for the client workstream that will include client master and client reporting. We need a senior resource who can run fairly independently.
 

  1. Review and validate BRDs for the Client CRM
  2. Review data spec that will sit alongside the BRD for Client CRM
  3. Review the proposed CRM data model to ensure it aligns with broader business requirements
  4. Review and provide feedback on the CRM data mapping and migration plan
  5. Collaborate on how the CRM will integrate with other systems from a data perspective, including the creation of a data flow diagram (EA also)
  6. Confirm data sources & calculations 
  7. Advise on data ownership and stewardship
  8. Provide test datasets & a framework for testing the data migration and flows to ensure everything works as intended before going live
  9. Manage data cleansing & validation processes within MDM, relating to Client CRM data
  10. Opine on a plan for maintaining data quality and governance post-implementation, including regular audits and updates
  11. Ongoing: Evolve Client and Client Portfolios Masters with new attributes, as required
  12. Review and provide feedback on the access and permissions model to ensure that data access aligns with business needs and security protocols (Compliance also)