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Experience with data integration tools (e.g., Informatica, Talend, Alteryx, SSIS etc) to carry out an ETL (Extract, Transform & Load) to move data from disparate systems to Master Data Management Hub.
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A minimum of two years’ experience in providing complex consultative services in the following focus areas: information strategy, data architecture, information/data governance, master data management, data quality, data integration.
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Knowledge of data integration methods and techniques such as use of APIs to distribute data from MDM to subscriber systems. Experience with Master Data Management platforms and tools such as Informatica MDM, C360, Reltio, Profisee, Semarchy.
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Key Responsibilities: Data Extraction, Transformation, and Loading (ETL): Develop and maintain ETL processes using tools like Alteryx and SQL to extract, clean, transform, and load data from various sources into data warehouses.
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The Data Governance and Data Quality Analyst will specialize in serving EY clients in the areas of Data Strategy, Data Governance, Data Quality, Data Definition and Usage, and Data Management.
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Assisting in the strategy and implementation of Master Data Management, Data Governance, Enterprise Data Management, Enterprise Content Management and Knowledge Management. We’ll look to you to provide our clients with a unique business perspective on how Data Strategy, Data Governance, Data Quality, Data Definition and Usage, and Data Management can transform and improve their entire organization – starting with key business issues they face.
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3-5 years of work experience in ETL tools like Informatica Intelligent Cloud Services (Data & Application Integration), Oracle Data Integrator 3-5 years of collective work experience in multiple databases like AWS Redshift, Oracle 12c, and Oracle Autonomous Data Warehouse.
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Domain knowledge with an understanding of business processes, approvals and workflows to manage master data management. Consulting Services Senior, AI & Data - Master Data Management.
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Experience administering and supporting modern data warehouse user solutions such as Alteryx, Tableau, Power BI or other enterprise reporting solutions. Experience working in enterprise ETL/ELT data environments; Matillion and Qlik Replicate experience is desired though not required.
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You will help our clients navigate the complex world of Information Data Governance and Data Quality. Understanding of data governance principles: Knowledge of data governance frameworks and practices to ensure data quality, security, and compliance.
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EY delivers unparalleled service in information strategy enabled through a mix of service focuses including information architecture, information management and information governance- which in turn enables organizations to exploit source systems by ensuring that they provide a trusted, sustainable data stream for accurate and improved BI, EPM and analytic applications.
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We also provide data governance as an organizational framework consisting of people, process and technology to enable organizations to manage data as a business asset. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
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Advanced ETL skills (e.g. Kettle, MS SSIS (SQL Server Integration Services), Alteryx, KNIME, etc.) Develops data mining models, statistical reporting and data analysis methodologies to identify network anomalies and enable network optimization trough data driven decisions.
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We provide data architecture focused on organizing the underlying data in the most effective manner to provide the business timely access to information to improve business performance. Proven track record of understanding business challenges and translating them into value-add solutions - strong analytical and problem- solving skills - actively participate in brainstorming, identifying core issues and effectively finding and using data to manage complex analysis.
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Strong knowledge and experience with ETL tools like Power Query, Azure Data Factory, FiveTran, Stitch, Alteryx and languages like SQL, Python or R. Services include Data Discovery and Analysis, Data Prep and Integration, Self-Service Analytics, Data Visualization and Reporting, Data Science and Advanced Analytics, and Strategy Enablement.
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