Technical Data Analyst

Technical Data Analyst to address DQ and End User issues, manage , prioritze and work with internal and stakeholder scrum team for issue resolution.

Role Overview

We are seeking a detail-oriented, hands-on Technical Data Analyst to join our Master Data Management (MDM) Product Management team. This role is focused on core data profiling, trend analysis, data quality management, and first-line issue triage for our Informatica MDM and Data 360 platforms.

Working closely with Data Stewards, Product Managers, Users, and Engineers, you will analyze data anomalies, identify root causes, monitor recurring trends, manage defects, and support UAT and key technical implementations.

Key Responsibilities

• Data Profiling, Trends & Quality Management
• Hands-on Data Profiling: Write strong SQL queries to profile, inspect, and analyze incoming and existing data datasets across Informatica MDM and Data 360.
• Data Quality (DQ) Management: Monitor, measure, and flag data quality issues, exception patterns, and entity resolution mismatches to ensure platform data integrity.
• Data Trend Analysis: Identify and report on recurring data trends, systemic error patterns, and operational bottlenecks across team and system boundaries.
• First-Line Support: Act as the first point of contact for Data Stewards, Product Managers, and end users on operational data inquiries and platform issues.
• Root Cause & Defect Triage: Perform deep-dive data investigations to uncover root causes of issues and work directly with engineers to track, manage, and resolve defects.
• UAT Support & Technical Implementation
• UAT Execution Support: Assist with User Acceptance Testing (UAT) by validating data fixes, running test queries, and guiding stewards through test cases.
• Implementation Support: Support data validation and verification tasks during platform updates and technical feature rollouts.

Minimum Qualifications

• 3 years of hands-on experience in data analysis, data quality analysis, or technical support roles.
• Strong SQL & Data Profiling: Proven ability to write SQL scripts to analyze large datasets, diagnose data anomalies, and perform trend analysis.
• Data Quality Focus: Demonstrated understanding of Data Quality (DQ) management concepts, error tracking, and data profiling techniques.
• MDM & Data Tools: Exposure to or working knowledge of Informatica MDM and Data 360 platforms.
• Experience using issue/defect tracking tools to document and triage bugs with engineering teams.
• Strong analytical mindset and communication skills to work across team boundaries with stewards, users, and engineers.
• Preferred Qualifications
• Familiarity with data stewardship processes (golden record rules, entity resolution, deduplication, hierarchy mapping).
• Basic exposure to Python or (Tableau) for data quality reporting.
• Familiarity with AI tools and ability to spin up quick dashboards and reports