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Mdm Data Analyst Jobs (NOW HIRING)

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 ...

Cushman & Wakefield

MDM Architect

Austin, TX · On-site

$180K/yr

Ensure master data is reliably consumed downstream by analytics, operational, and reporting platforms MDM Configuration & Governance * Define and implement: * Data quality rules * Stewardship ...

Cushman & Wakefield

MDM Architect

Austin, TX · On-site

$180K/yr

Ensure master data is reliably consumed downstream by analytics, operational, and reporting platforms MDM Configuration & Governance * Define and implement: * Data quality rules * Stewardship ...

Legrand North America

MDM Lead Architect

... with business, analytics, and integration teams to deliver scalable, high-performance data ... A) MDM Architecture & Platform Leadership * Design and maintain enterprise MDM architecture, while ...

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Mdm Data Analyst information

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How much do mdm data analyst jobs pay per year?

As of Jun 9, 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 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior MDM Product Analyst - Informatica 360, Integration & Architecture

Senior MDM Product Analyst - Informatica 360, Integration & Architecture

First Citizens Bank

Raleigh, NC

Full-time

Posted 14 days ago

First Citizens Bank rating

7.6

Company rating: 7.6 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

79th of 141 rated banks

Job description

Overview

The Senior MDM Product Analyst – Informatica 360 is responsible for driving the architecture, design, and delivery of enterprise-scale Master Data Management (MDM) solutions across the organization. This role provides strategic leadership for MDM platforms, focusing on end-to-end data architecture, scalable integrations, and real-time data enablement.

The candidate will lead the implementation of Informatica Customer 360 and Reference 360, ensuring seamless data flow from source systems to downstream consumers. This role requires deep expertise in API-driven and event-driven architectures, data pipeline engineering (batch and real-time), and enterprise integration patterns—enabling a governed, unified, and high-quality customer data ecosystem across banking platforms


Responsibilities

MDM Architecture

  • Define and lead enterprise MDM architecture and integration strategy in collaboration with the Technology team.
  • Provide requirements and review design of scalable architectures for Customer 360 and Reference 360 implementations.
  • Establish rules and standards for data modeling, mastering, survivorship, and golden record creation.
  • Align MDM architecture with enterprise data, cloud, and digital transformation strategies.

Platform Development – Informatica 360

  • Review development and configuration of Informatica Customer 360 and Reference 360, including:
  • Match & merge rules (deterministic and probabilistic)
  • Survivorship rules
  • Hierarchies and relationship models
  • Optimize performance, scalability, and maintainability of the MDM platform.

Data Modeling & Quality

  • Design or review logical and physical data models for MDM domains (Customer, Party, Reference Data).
  • Implement and enforce data quality and validation rules.
  • Ensure high standards of data accuracy, consistency, and completeness.

Integration & Data Engineering – API & Event-Driven Enablement

  • Review design and implementation of end-to-end data pipelines from source systems through MDM to downstream consumption layers.
  • Create or review requirements for batch and real-time data ingestion frameworks, extraction, transformation, and publishing pipelines.
  • Integrate MDM with key enterprise systems, including Core Banking, CIS, Fraud, Compliance, and Digital platforms.
  • Review API-first MDM access patterns and real-time data exchange using event-driven architectures (Kafka, messaging frameworks).
  • Ensure MDM data is accessible for operational systems, analytics, and digital channels.
  • Design and review data services and microservices for MDM consumption.

Collaboration & Technical Leadership

  • Act as product leader and mentor for development teams.
  • Collaborate with Business Analysts, Data Engineers, Data Governance teams, and Architects.
  • Drive design reviews and architectural governance.
  • Translate complex technical concepts into clear guidance for business and technical stakeholders.

Testing, Deployment & Validation

  • Define and implement testing strategies covering unit, integration, UAT, and performance testing.
  • Validate data ingestion and transformation, match & merge outcomes, and data synchronization across systems.
  • Support release management and production deployments.

Performance & Optimization

  • Monitor and optimize data pipelines, API performance, and MDM platform scalability in collaboration with Technical Leads and Operations.
  • Troubleshoot complex data and integration issues across systems.

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

  • 12+ years of experience in data engineering, MDM development, or integration architecture.
  • Experience working in Agile methodology, including writing user stories and test cases using Jira.
  • Deep expertise in Customer/Party MDM (Individual & Non-Individual), golden record management, and match & merge frameworks.
  • Strong background in the Finance/Banking domain.

Platforms & Tools

  • Strong hands-on experience with Informatica Customer 360 & Reference 360 (mandatory; SaaS preferred).
  • Familiarity with other MDM tools such as Reltio, IBM MDM (preferred).
  • Strong proficiency in SQL and data integration tools (Informatica, ETL frameworks).
  • Experience with API development (REST, GraphQL) and messaging/event platforms (Kafka, MQ, etc.).
  • Experience building controls on data environments.

Data & Architecture

  • Strong understanding of data modeling (logical & physical), data integration patterns, data governance, and data lineage.
  • Proven experience designing real-time and batch data architectures.

Cloud & Data Platforms

  • Experience with Snowflake or other cloud data platforms (preferred).
  • Exposure to Azure, AWS, or hybrid cloud architecture.

Domain Knowledge

  • Experience in banking or financial services, including familiarity with Core Banking, Customer Information Systems, and Fraud/Risk/Compliance (KYC preferred).

Leadership & Soft Skills

  • Strong technical leadership and mentoring ability.
  • Excellent communication and stakeholder engagement skills.
  • Ability to lead enterprise-scale initiatives independently.

PREFERRED QUALIFICATIONS

  • Experience in large-scale enterprise data transformation programs.
  • Knowledge of microservices architecture and domain-driven design.
  • Exposure to DevOps, CI/CD pipelines, and automation frameworks.

KEY DELIVERABLES

  MDM architecture and integration designs

  End-to-end data pipeline frameworks

  API and event-driven data services

  Informatica 360 platform configurations and implementations

  Data models and integration mappings

  Performance optimization and monitoring frameworks

#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

  • 12+ years of experience in data engineering, MDM development, or integration architecture.
  • Experience working in Agile methodology, including writing user stories and test cases using Jira.
  • Deep expertise in Customer/Party MDM (Individual & Non-Individual), golden record management, and match & merge frameworks.
  • Strong background in the Finance/Banking domain.

Platforms & Tools

  • Strong hands-on experience with Informatica Customer 360 & Reference 360 (mandatory; SaaS preferred).
  • Familiarity with other MDM tools such as Reltio, IBM MDM (preferred).
  • Strong proficiency in SQL and data integration tools (Informatica, ETL frameworks).
  • Experience with API development (REST, GraphQL) and messaging/event platforms (Kafka, MQ, etc.).
  • Experience building controls on data environments.

Data & Architecture

  • Strong understanding of data modeling (logical & physical), data integration patterns, data governance, and data lineage.
  • Proven experience designing real-time and batch data architectures.

Cloud & Data Platforms

  • Experience with Snowflake or other cloud data platforms (preferred).
  • Exposure to Azure, AWS, or hybrid cloud architecture.

Domain Knowledge

  • Experience in banking or financial services, including familiarity with Core Banking, Customer Information Systems, and Fraud/Risk/Compliance (KYC preferred).

Leadership & Soft Skills

  • Strong technical leadership and mentoring ability.
  • Excellent communication and stakeholder engagement skills.
  • Ability to lead enterprise-scale initiatives independently.

PREFERRED QUALIFICATIONS

  • Experience in large-scale enterprise data transformation programs.
  • Knowledge of microservices architecture and domain-driven design.
  • Exposure to DevOps, CI/CD pipelines, and automation frameworks.

KEY DELIVERABLES

  MDM architecture and integration designs

  End-to-end data pipeline frameworks

  API and event-driven data services

  Informatica 360 platform configurations and implementations

  Data models and integration mappings

  Performance optimization and monitoring frameworks

#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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