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EY GDS – Data and Analytics (D&A) – Data Quality & Profiling Specialist
We’re seeking a skilled professional with strong expertise in data quality and profiling, possessing proven delivery capability. This is a fantastic opportunity to join a leading firm and contribute to a growing Data and Analytics team focused on ensuring high-quality, reliable data assets.
Your Key Responsibilities
- Lead data quality assessment and profiling initiatives to identify and resolve data inconsistencies, inaccuracies, and anomalies across multiple systems.
- Define, implement, and monitor data quality standards, policies, and metrics aligned with business goals and regulatory requirements.
- Collaborate closely with data owners, stewards, and engineering teams to remediate data quality issues and drive continuous improvement efforts.
- Develop and automate data quality validation processes using industry-leading tools like Collibra, Ataccama, and Manta.
- Ensure comprehensive documentation and reporting of data quality status, trends, and remediation activities for stakeholders at all levels.
- Support and enhance enterprise data governance programs by embedding strong data quality practices and promoting data stewardship.
Skills And Attributes For Success
- Experience: 3 to 8 years
- Hands-on experience with data quality and profiling tools such as Collibra, Ataccama, and Manta
- Strong knowledge of data quality concepts, techniques, and best practices
- Proficiency in SQL and experience with data profiling queries and scripting
- Familiarity with data governance frameworks and metadata management
- Understanding of ETL processes, data warehousing, and big data environments
- Excellent analytical and problem-solving skills with a keen eye for detail
- Strong communication skills, able to effectively engage technical and business stakeholders
- Experience working in Agile delivery environments (preferable)
To qualify for the role, you must have
- Be a computer science graduate or equivalent with 3 to 8 years of industry experience
- Demonstrated success in delivering enterprise-grade data quality solutions and initiatives
- Ability to translate complex data quality challenges into scalable technical solutions considering security, performance, and compliance
- Strong organizational skills and ability to manage multiple priorities in a dynamic environment
- Excellent communicator (written and verbal, formal and informal)
- Experience in client management and stakeholder engagement
- Lead data quality assessment and profiling initiatives to identify and resolve data inconsistencies, inaccuracies, and anomalies across multiple systems.
- Define, implement, and monitor data quality standards, policies, and metrics aligned with business goals and regulatory requirements.
- Collaborate closely with data owners, stewards, and engineering teams to remediate data quality issues and drive continuous improvement efforts.
- Develop and automate data quality validation processes using industry-leading tools like Collibra, Ataccama, and Manta.
- Ensure comprehensive documentation and reporting of data quality status, trends, and remediation activities for stakeholders at all levels.
- Support and enhance enterprise data governance programs by embedding strong data quality practices and promoting data stewardship.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
