Supply Chain Data Integration Consultant

Role Overview: As a Data Integration Consultant Senior at EY, you will have the opportunity to join a dynamic team and be responsible for designing, developing, and deploying data-driven solutions that enhance supply chain operations and decision-making processes. Key Responsibilities: - Conduct data assessment for clients using different frameworks and support them in building a successful data strategy. - Collaborate closely with IT, supply chain, and other stakeholders to understand their data analysis needs and translate them into technical requirements. - Develop strategies to validate, clean, transform, and monitor data to ensure accuracy, consistency, completeness, reliability, and timeliness for its intended uses. - Determine new data capture and standardization methods. - Oversee key standard reports and dashboards, ensuring compliance with legal and other standards. - Maintain data documentation and ensure data integrity and compliance with company standards. - Stay updated on the latest trends and technologies in Data for supply chain management to recommend improvements and innovations. - Participate in the full lifecycle of data governance projects, from requirements gathering to deployment and post-implementation review. - Perform Data Analysis and Data Manipulation based on client requirements. - Collaborate with cross-functional teams to implement data-driven strategic initiatives. - Utilize strong SQL, data integration, and handling skills. - Utilize experience in ETL tools like Azure Data Factory, Informatica, SSIS, Talend, or Alteryx. - Have exposure to AI models, Python, and their usage in Data Cleaning/Standardization. Qualification Required: - Minimum 5 years of experience in Data Intelligence Cloud, Data Quality/Cleansing with a strong background in data quality/maturity frameworks. - Expertise in Data Governance design and setup. - Experience in developing Data Strategy roadmap and adoption, including Business Case development. - Familiarity with data quality standards, Data profiling, Data quality assessment, Data quality reporting, Data cleaning, Monitoring and control, and Data governance. - Experience in data intelligence cloud platforms like Snowflake, Azure, and Databricks. Additional Company Details: At EY, you will work on inspiring and meaningful projects with varied clients, from startups to Fortune 500 companies. The focus is on education, coaching, and personal development, with opportunities to develop new skills and progress your career. You will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange, with support, coaching, and feedback from engaging colleagues.,