Senior MDM Data Quality Analyst - Onsite Austin

My3tech; Austin (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

My3Tech in Austin, Texas is seeking an MDM Data Quality Analyst to ensure master data accuracy and consistency across the enterprise. You will define quality rules, profile data, run validations, and build dashboards to monitor trends, collaborating with IT and business teams to support downstream processes.

Candidates should have 7+ years in data quality, strong SQL, experience with relational and dimensional models, and a proven ability to create KPIs.

Qualifications

• 7+ years of data quality analysis experience, preferably in an MDM environment.
• Strong SQL and database query skills.
• Experience with relational and dimensional data models.
• Proven ability to create and track measures, metrics, and KPIs.
• Bachelor’s degree in information systems or related field.

Responsibilities

• Define, document, and enforce data quality rules for master data.
• Profile and analyze data to identify issues, patterns, and trends.
• Perform regular data quality tests and validation activities.
• Collaborate with departments to resolve discrepancies and improve data quality.
• Create and maintain dashboards, scorecards and KPIs for data quality reporting.
• Support MDM projects by providing quality metrics and recommendations.
• Stay current with best practices and trends in data quality management.

Skills

SQL

Data quality analysis

MDM experience

Data modeling

KPIs

Education

Bachelor’s degree in information systems or related field

Master’s degree in information systems or related field

Tools

Informatica MDM

Data visualization tools

Job description

My3Tech in Austin, Texas is seeking an MDM Data Quality Analyst to ensure master data accuracy and consistency across the enterprise. You will define quality rules, profile data, run validations, and build dashboards to monitor trends, collaborating with IT and business teams to support downstream processes.

Candidates should have 7+ years in data quality, strong SQL, experience with relational and dimensional models, and a proven ability to create KPIs.