MDM Data Quality Analyst — Informatica (Onsite Austin)

Digerati Systems Inc; Austin (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Digerati Systems Inc. in Austin, TX is seeking an experienced MDM Data Quality Analyst to ensure accuracy, completeness, and consistency of master data in the MDM environment.

The role emphasizes hands-on Informatica, SQL, data profiling, and quality rules, with reporting as a supporting skill. The ideal candidate will define data quality standards, profile data to identify issues, run validation tests, and develop dashboards and KPIs to track quality trends.

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

Data profiling

Dashboards

Informatica MDM

Education

Bachelor's degree in Information Systems or related field

Master's degree in Information Systems or related field

Tools

Informatica MDM

Job description

Digerati Systems Inc. in Austin, TX is seeking an experienced MDM Data Quality Analyst to ensure accuracy, completeness, and consistency of master data in the MDM environment.

The role emphasizes hands-on Informatica, SQL, data profiling, and quality rules, with reporting as a supporting skill. The ideal candidate will define data quality standards, profile data to identify issues, run validation tests, and develop dashboards and KPIs to track quality trends.