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Master Data Analyst Jobs in Raleigh, NC (NOW HIRING)

Fidelity Investments

Principal Data Modeler

Durham, NC · On-site

$53 - $68.50/hr

Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Cybersecurity, Information Systems, Data Analytics, or a closely related field (or foreign education ...

GSK

ERP Data Management Lead

Zebulon, NC · On-site

... analysis, preferably within pharmaceutical manufacturing or a similar regulated industry. * 5+ years' experience managing ERP master data, preferably in manufacturing, supply chain, or regulated ...

GlaxoSmithKline

ERP Data Management Lead

Zebulon, NC

... analysis, preferably within pharmaceutical manufacturing or a similar regulated industry. * 5+ years' experience managing ERP master data, preferably in manufacturing, supply chain, or regulated ...

Deloitte

Scrum Master - Project Delivery Analyst

Raleigh, NC · Hybrid

$50 - $66.75/hr

Work you'll do/Responsibilities You will serve as a Scrum Master for a Data & Analytics agile product team operating in a SAFe environment as part of a Data & Analytics Foundry staff augmentation ...

SPC Mechanical

Financial Analyst

Wendell, NC · On-site

The Financial Analyst is responsible for supporting the organization's financial planning ... governance, master data integrity, and workflow automation. * Partner with IT, accounting, and ...

Coforge

Stibo Developer

Raleigh, NC · On-site

... analytical platform Nice To Have * Experience with regulatory frameworks relevant to insurance master data (NAIC, BCBS 239, statutory reporting) * Exposure to Snowflake medallion architecture ...

IKCON TECHNOLOGIES Inc.

IT Lead Developer 2-Senior

Raleigh, NC · On-site

$57.25 - $75/hr

... based analytical platform Nice To Have Experience with regulatory frameworks relevant to insurance master data (NAIC, BCBS 239, statutory reporting) Exposure to Snowflake medallion architecture ...

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All JobsMaster Data Analyst JobsMaster Data Analyst Jobs in Raleigh, NC

Master Data Analyst information

See Raleigh, NC salary details

$19

$43

$74

How much do master data analyst jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for master data analyst in Raleigh, NC is $43.11, according to ZipRecruiter salary data. Most workers in this role earn between $29.66 and $53.75 per hour, depending on experience, location, and employer.

What are Master Data Analysts?

Master Data Analysts are professionals responsible for managing and maintaining an organization's critical business data, often referred to as 'master data.' This includes key information about customers, products, suppliers, and other core business entities. Their work ensures that data is accurate, consistent, and accessible across different departments and systems. Master Data Analysts also help establish data governance standards, support data integration projects, and troubleshoot data quality issues to support business operations and decision-making.

How does a Master Data Analyst typically collaborate with other departments to maintain data quality?

A Master Data Analyst regularly works with teams such as IT, finance, supply chain, and operations to ensure data consistency and integrity across systems. This collaboration often involves participating in cross-functional meetings, clarifying data requirements, and resolving discrepancies in master data. Effective communication and problem-solving skills are essential, as the analyst serves as a bridge between technical and business stakeholders to implement data governance policies and improve data processes.

What Does a Master Data Analyst Do?

A master data analyst monitors and examines master and key data within a company or organization. As a master data analyst, your job duties include developing databases to support business goals, implementing standards for collecting and storing data, and using data to gain key business insights. The career typically requires a bachelor’s degree in IT, data science, or a related field and work experience in data analysis or software programming. Additional qualifications include strong analytical and computer skills, as well as an understanding of database architecture.

Is a master's in data analysis worth it?

For a Master Data Analyst, obtaining a master's degree in data analysis can enhance technical skills, such as proficiency in SQL, Python, and data visualization tools, and may improve job prospects and salary potential. However, practical experience and certifications like Certified Analytics Professional (CAP) can also be valuable in this field. The decision depends on career goals and the specific requirements of employers in data analysis roles.

Is 40 too late for data science?

For a Master Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data science roles later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Experience and continuous learning are valued more than age in the data industry.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but a Master Data Analyst's role involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment and domain expertise. AI tools are valuable for enhancing efficiency but are unlikely to fully replace skilled analysts who provide critical context and nuanced analysis.

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

To thrive as a Master Data Analyst, you need a strong background in data management, analytics, and a relevant degree such as computer science, information systems, or business. Familiarity with data management tools like SAP, Oracle, SQL, and experience with data governance frameworks or related certifications are typically required. Excellent attention to detail, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are critical for ensuring data accuracy, supporting business decisions, and maintaining consistent data standards across the organization.

What can I do with a master's in data analysis?

A master's in data analysis prepares individuals for roles such as Master Data Analyst, Data Scientist, or Business Intelligence Analyst, involving tasks like data cleaning, statistical analysis, and reporting. It often requires proficiency in tools like SQL, Python, or R and understanding of data management systems. Graduates can work in various industries including finance, healthcare, and technology, often in environments that emphasize data-driven decision making.

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

AspectMaster Data AnalystData Analyst
CredentialsBachelor's degree in data-related field; certifications like CDMP or DAMA often preferredBachelor's degree in statistics, mathematics, or related field; certifications are optional
Work EnvironmentFocus on managing and maintaining master data across departmentsAnalyze data sets to generate reports and insights for decision-making
Industry UsageCommon in organizations with complex data management needsWidespread across various industries for data analysis tasks

The main difference is that a Master Data Analyst specializes in managing and maintaining core organizational data, ensuring data quality and consistency. In contrast, a Data Analyst primarily focuses on analyzing data to support business decisions. Both roles require strong analytical skills, but the Master Data Analyst emphasizes data governance and integrity, often working closely with IT and data management teams.

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Master Data Analyst jobs near you
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 17 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

92nd of 149 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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