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Mdm Data Analyst Jobs (NOW HIRING)

Panasonic

MDM Lead

Bridgeton, MO · On-site

... analytics. Consolidate fragmented data across ERP, PLM, CRM, and PIM systems into a trusted ... MDM Strategy, Data Quality & AI Readiness Develop and execute a multi-domain MDM roadmap aligned to ...

Hussmann

MDM Lead

Bridgeton, MO · On-site

... analytics. Consolidate fragmented data across ERP, PLM, CRM, and PIM systems into a trusted ... MDM Strategy, Data Quality & AI Readiness Develop and execute a multi-domain MDM roadmap aligned to ...

TMS

Data Analyst

Lake Mary, FL · On-site

$55 - $62/hr

Data Analyst with MDM & Payments Exp. Location: Pittsburgh, PA /Lake Mary, FL (Day 1 Onsite/ Local or Nearby) Duration: 6 Months C2H Experience Needed: 8-12 Years Note: Candidate must have very good ...

NAVA Software Solutions

MDM Developer

Atlanta, GA · On-site

Details: MDM Developer Location: Atlanta GA or NJ (Should be ready to go to office location on ... Analyze and understand master data assets, and discover hierarchies and relationships across them.

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Mdm Data Analyst information

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$34K

$82.6K

$136K

How much do mdm data analyst jobs pay per year?

As of Jul 2, 2026, the average yearly pay for mdm 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 is an MDM Data Analyst?

An MDM Data Analyst is a professional responsible for managing and analyzing Master Data Management (MDM) systems within an organization. They ensure that data is accurate, consistent, and accessible across different departments by maintaining, cleansing, and integrating large datasets. MDM Data Analysts play a key role in supporting business decision-making by providing high-quality, unified data and helping implement data governance policies. They often work closely with IT, data architects, and business units to align data strategies with organizational goals.

How does an MDM Data Analyst typically collaborate with stakeholders across different departments?

An MDM Data Analyst frequently works with stakeholders from IT, business operations, and data governance teams to ensure data consistency and accuracy across the organization. They gather requirements, resolve data discrepancies, and coordinate data integration efforts to support company-wide initiatives. Effective communication is crucial, as analysts must translate technical data issues into business terms and vice versa. This collaboration helps align data management strategies with business goals and ensures that master data supports decision-making processes.

What is the difference between Mdm Data Analyst vs Data Analyst?

AspectMdm Data AnalystData Analyst
Required CredentialsBachelor's in IT, Data Science, or related fields; certifications like CDMP or DAMA often preferredBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst Associate common
Work EnvironmentTypically within Master Data Management teams, focusing on data governance and qualityAcross various departments, analyzing data to support business decisions
Employer & Industry UsageUsed in industries with complex data systems like finance, healthcare, and retailWidely used across industries for data-driven decision making

The Mdm Data Analyst specializes in managing and ensuring the quality of master data within organizations, often working closely with data governance teams. In contrast, a Data Analyst focuses on analyzing data sets to generate insights for business strategies. While both roles require strong analytical skills and similar certifications, their focus areas and work environments differ significantly.

What are the key skills and qualifications needed to thrive as an MDM Data Analyst, and why are they important?

To thrive as an MDM Data Analyst, you need strong analytical skills, experience with data management principles, and a background in computer science or a related field. Familiarity with Master Data Management (MDM) platforms like Informatica or SAP MDG, proficiency in SQL, and knowledge of data modeling tools are typically required. Attention to detail, problem-solving abilities, and effective communication set top performers apart in this role. These skills ensure accurate, consistent, and reliable data across systems, which is crucial for informed business decision-making.
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What job categories do people searching Mdm Data Analyst jobs look for? The top searched job categories for Mdm Data Analyst jobs are:
Mdm Data Analyst jobs near you
Infographic showing various Mdm Data Analyst job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior Product Lead - MDM, Reference Data & Customer 360

Senior Product Lead - MDM, Reference Data & Customer 360

First Citizens Bank

Raleigh, NC • On-site

$83K - $105K/yr

Full-time

Posted 6 days ago

First Citizens Bank rating

7.5

Company rating: 7.5 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

89th of 144 rated banks

Job description

Overview

We are seeking a highly experienced Senior Product Lead / Product Owner specializing in Master Data Management (MDM), Reference Data, and Customer 360 (C360) to drive enterprise-wide data initiatives.

This role focuses on defining MDM strategy, product roadmap, use cases, and data governance frameworks, while enabling a unified, high-quality view of customer and reference data across the organization. The ideal candidate will have strong experience with MDM platforms, Salesforce, Collibra, and Reference 360, and will work closely with business, data, and technology teams to deliver scalable, governed data solutions.


Responsibilities

Business Prioritization, Use Case Inventory & Roadmap

  • Drive MDM/C360 requirements and design aligned with business goals.
  • Establish domain-driven data strategies across Customer, Party, and Reference Data.
  • Lead roadmap prioritization based on business value, operational needs, and identified data quality gaps in the MDM platform based on systems of record.
  • Lead conversations with business stakeholders to identify and quantify opportunities.
  • Align strategy across MDM, C360 consumers (batch, real-time, and analytics use cases), and governance initiatives.
  • Evaluate vendor and home-grown solutions for Reference Data and Customer 360.

Business Analysis & Use Case Development

  • Gather and document business requirements and MDM use cases across C360, Reference 360, and Data Governance.
  • Translate business needs into functional and technical specifications.
  • Define Customer 360 use cases, including:
  • Single Customer View
  • Cross-channel analytics
  • Customer Onboarding & KYC
  • Duplicate management and match-merge
  • Create process and source-to-target mappings, data flows, process models, MDM data model documentation, and business glossaries.

Customer 360 (C360) & Stakeholder Outreach

  • Support and drive Customer 360 implementation efforts.
  • Identify and document MDM consumption use cases across business functions.
  • Collaborate with business stakeholders to enable trusted and accurate customer data.

Data Governance

  • Define data ownership and stewardship models.
  • Establish and maintain business glossary and metadata management standards.
  • Document data lineage and support data cataloging efforts.
  • Ensure compliance with data policies, standards, and regulatory requirements.

Reference Data Management (Ref360)

  • Define and manage reference data domains using Reference 360.
  • Standardize code sets, hierarchies, and cross-system mappings.
  • Ensure consistency of reference data across all enterprise systems.

Data Quality & Stewardship

  • Define and refine data quality rules across MDM and reference data domains.
  • Drive resolution of data issues through governance workflows.
  • Work with stewardship teams to validate data corrections and improve data completeness and consistency.

Data Platform & Snowflake Integration

  • Collaborate with engineering teams to review data models for MDM/C360.
  • Review and understand data integration pipelines.
  • Ensure optimized data ingestion, processing, and consumption layers.
  • Support analytics and reporting use cases built on the data platform.

Stakeholder Management

  • Act as a bridge between business users, data engineers, and governance teams.
  • Lead workshops, demos, and requirements sessions.
  • Communicate complex data concepts clearly to non-technical stakeholders.

Testing & Validation

  • Define test strategies for data ingestion, mastering, and data flows.
  • Validate initial load and incremental processing, match & merge outcomes, and data synchronization.
  • Support reconciliation between source systems, MDM, and downstream consumers.

Qualifications

Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics

Core MDM Expertise

  • 15+ years of experience in Business Analysis, Data Management, or MDM.
  • Strong experience with Customer/Party MDM (Individual & Non-Individual), including match & merge rules (deterministic and probabilistic) and golden record creation.
  • Proven background in the Banking or Financial Services domain.

Tools & Platforms

  • Required: MDM platforms such as Informatica, Reltio, or IBM MDM.
  • Strong SQL proficiency (required).
  • Reference Data Management (Ref360) and Collibra for Data Governance, cataloging, and lineage.
  • Snowflake (data warehousing and cloud data platform) — nice to have.

Data & Analytics

  • Strong understanding of data modeling (logical & physical), data quality frameworks, and data lineage and metadata management.
  • Experience in supporting or building enterprise data warehouses.
  • Experience with Customer 360 analytics and reporting.

Business & Domain Knowledge

  • Banking, Financial Services, or enterprise domain experience (preferred).
  • Familiarity with customer data domains: Party, Address, Contact, and Hierarchy.
  • Knowledge of KYC and Compliance frameworks (preferred).

Soft Skills

  • Strong stakeholder engagement and relationship management.
  • Excellent communication and documentation abilities.
  • Ability to drive enterprise-scale initiatives independently.

PREFERRED QUALIFICATIONS

  • Experience with enterprise data transformation programs.
  • Exposure to cloud ecosystems such as Azure or AWS.
  • Exposure to cloud ecosystems such as Azure or AWS.

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics

Core MDM Expertise

  • 15+ years of experience in Business Analysis, Data Management, or MDM.
  • Strong experience with Customer/Party MDM (Individual & Non-Individual), including match & merge rules (deterministic and probabilistic) and golden record creation.
  • Proven background in the Banking or Financial Services domain.

Tools & Platforms

  • Required: MDM platforms such as Informatica, Reltio, or IBM MDM.
  • Strong SQL proficiency (required).
  • Reference Data Management (Ref360) and Collibra for Data Governance, cataloging, and lineage.
  • Snowflake (data warehousing and cloud data platform) — nice to have.

Data & Analytics

  • Strong understanding of data modeling (logical & physical), data quality frameworks, and data lineage and metadata management.
  • Experience in supporting or building enterprise data warehouses.
  • Experience with Customer 360 analytics and reporting.

Business & Domain Knowledge

  • Banking, Financial Services, or enterprise domain experience (preferred).
  • Familiarity with customer data domains: Party, Address, Contact, and Hierarchy.
  • Knowledge of KYC and Compliance frameworks (preferred).

Soft Skills

  • Strong stakeholder engagement and relationship management.
  • Excellent communication and documentation abilities.
  • Ability to drive enterprise-scale initiatives independently.

PREFERRED QUALIFICATIONS

  • Experience with enterprise data transformation programs.
  • Exposure to cloud ecosystems such as Azure or AWS.
  • Exposure to cloud ecosystems such as Azure or AWS.

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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