EY-GDS Consulting-AI And DATA-Data Governance-Gig

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D And A) – Gig- Data Governance + SQL + Python As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in sectors like Banking, Insurance, Manufacturing, Government Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance. The Opportunity We're looking for a Project Delivery expert with experience and strong technology and data understanding of the enterprise data ecosystem and its governance model. The candidate should be proficient in defining strategies to ensure adherence to related policies and standards. This is a fantastic opportunity to be part of a leading firm as well as a growing Data and Analytics team. Key Responsibilities Deploy DQ Queries and Analyze Results: Use statistical analysis, metrics, and insights. Analyze DQ exceptions with data stewards to understand the scope and impact of DQ exceptions. Ensure prioritization of DQ exceptions by impact and aid in the facilitation of remediating issues. Business Analysis: Correlate statistics about issues, aggregate results, and distill important details on root causes or recommendations for permanent fixes. Knowledge of SDLC and issue remediation process. SQL, Python, and Advanced Query Skills: Experience in data quality roles preferred; financial services or relevant industry experience preferred. Data Governance: Define and activate an enterprise approach of controls, processes, metrics, and roles to make our information assets available to those who need them throughout the information lifecycle. These services include policies and processes, information quality, tools strategy, monitoring and enforcement, metrics, and change management. Creating and managing datasets in Collibra. Execute data quality checks in Collibra to ensure the accuracy, consistency, completeness, and reliability of data. Work closely with data analysts and other stakeholders to define data quality rules, set up data quality checks, and monitor ongoing data quality across various business functions. Configure and implement Collibra Data Quality framework and rules within the platform. Define data quality rules and set up automated data quality checks for both structured and unstructured data. Collaborate with data governance teams to align data quality policies with organizational goals. Monitor the performance of data quality rules and checks in Collibra. Track data quality issues and collaborate with data stewards to resolve discrepancies or data issues in a timely manner. Generate and interpret data quality reports from the Collibra platform, including data quality scorecards, issue logs, and dashboards. Work with business units to identify root causes of data quality problems and help implement corrective actions. Work closely with business and IT teams to understand data requirements and quality standards. Familiarity with SQL for querying data and analyzing data quality issues. Experience in data profiling, data cleansing, and data validation techniques.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.