🧹Master Data Analyst

NEW

Also known as: MDM Analyst

Specialist who analyzes and improves master data quality, matching, and standardization to support reliable golden records.

DESCRIPTION

A Master Data Analyst profiles, cleanses, and reconciles core entities like customer, product, or supplier. They design and monitor quality rules, investigate duplicates, and assess survivorship to maintain accurate golden records. The role collaborates with business stewards and MDM engineers on matching strategies, hierarchies, and reference alignment. They quantify impact through match precision/recall, defect trends, and downstream KPI improvements.

RELATED TERMS

Master Data Management Reference Data Single Source of Truth Entity Resolution Data Profiling Data Quality Data Steward Entity Matching Hierarchy Management

COMPETING TERMS

MDM Data Steward

RELATIONS

• Broader: Data Analyst

KNOWLEDGE AREAS

Reference & Master Data Data Management Data Quality

TARGET AUDIENCE

Data Steward Data Analyst Data Governance Manager Data Management Consultant Data Engineer

EXTERNAL SOURCES

• Wikipedia - Master data management
• SAP - MDG concepts and roles.
• Informatica - MDM product and role guidance.
• Microsoft - MDM reference architecture.

TOP QUESTIONS

What entities does a Master Data Analyst focus on?

Typically customer, product, supplier, location, and other shared reference domains central to business operations.

Category: Scope

How does a Master Data Analyst measure success?

Through match precision/recall, rule coverage, reduction in duplicates and defects, and improved downstream KPI accuracy.

Category: Metrics

What tools does a Master Data Analyst use?

MDM platforms, data quality tools, profiling utilities, and query languages like SQL for diagnostics and validation.

Category: Tooling

What is a common mistake in master data analysis?

Overfitting matching rules to specific cases, causing regressions elsewhere; robust evaluation and versioning are needed.

Category: Mistakes

How do Master Data Analysts work with stewards?

Analysts propose rule changes based on data evidence; business stewards approve definitions and thresholds aligned to policy.

Category: Collaboration

What is survivorship in MDM and why important?

It determines which source values populate the golden record, balancing recency, trust, and completeness.

Category: Concept

How do Master Data Analysts handle hierarchies?

They define and validate parent-child relationships (e.g., global ultimate) to support roll-ups and reporting.

Category: Hierarchy

How do they ensure changes don’t break downstream systems?

Use test datasets, regression suites, and staged rollouts with monitoring for downstream impact.

Category: Testing

Where to start improving master data quality?

Begin with profiling and critical use-cases, define rules with measurable thresholds, and iterate using feedback loops.

Category: Getting started