We are seeking a visionary and highly experienced Data Quality Analyst to lead and drive enterprise-wide data quality and governance strategies. This senior-level role requires expertise in data profiling, quality assessment, and monitoring, with a solid IT foundation and hands-on experience in any data quality tool (e.g., Collibra, Informatica, Alation, etc.), cloud platforms like AWS, and advanced analytics technologies. The Principal Data Quality Analyst will act as a

strategic partner to stakeholders, shaping organizational data standards and ensuring the implementation of best practices for data quality and governance.

Your Job:

- Define and drive enterprise-level data quality framework, policies, standards, and best practices.
- Lead complex data profiling, audits, and quality assessments across diverse systems and platforms.
- Design and oversee scalable data quality monitoring and reporting processes to support organizational goals.
- Develop strategies for managing data quality across multiple data sources, including structured, semi-structured, and unstructured data.
- Develop and manage KPIs to measure the success of data quality initiatives and ensure continuous improvement
- Performing statistical tests on large datasets to determine data quality and integrity
- Gathering data from data sources to identify and interpret trends
- Documenting processes and maintaining data records
- Keeping abreast of developments and trends in data quality analysis.
- Develop, Test and Deploy reports and dashboards to monitor data quality across different data domains.
- Collaborate with cross-functional teams to understand data requirements and ensure data integrity.
- Leverage advanced Python,



SQL and Power BI capabilities to analyze and automate data quality processes.

Other Responsibilities:

- Partner with cross-functional teams, including IT, data governance, and business units, to ensure alignment on data quality initiatives
- Communicate complex technical data quality findings and recommendations to executive stakeholders in a clear and actionable manner.
- Lead workshops, training, and mentoring sessions to upskill teams on data quality and governance best practices

Required Qualifications:

- Education Bachelor or Masters in Computer / IT related streams
- 4-6 years of experience in data quality analytics, and data cataloging & lineage

Preferred Qualifications:

- Extensive experience in data profiling, data quality assessment, and enterprise-scale monitoring
- Mastery of data quality tools (e.g., Collibra, Informatica, Alation, etc.) and frameworks
- Proficiency in Python, SQL, and advanced Power BI for data analysis, reporting, and automation.
- Expertise in cloud platforms, particularly AWS, for data storage, quality management, and governance
- Deep understanding of managing multiple data sources across varied formats and systems.
- Exceptional problem-solving and critical-thinking skills, with a proactive approach to addressing challenges.
- Ability to work independently and collaboratively in a fast-paced workplace.
- Strong project management and organizational skills, with the ability to manage multiple priorities effectively.
- Proven experience leading large-scale data quality and governance initiatives
- Exceptional ability to influence and drive alignment among diverse stakeholders, including executive leadership.
- Outstanding communication and presentation skills, with the ability to convey complex ideas to technical and non-technical audiences.

📌 Principal Analyst Data Quality (Bengaluru)
🏢 Globalfoundries Engineering Private
📍 Bengaluru