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Very Good understanding in Data Foundation initiatives, like Data Modeling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.
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Perform data integration tasks, including data extraction, transformation, and loading (ETL), to populate the analytics warehouse, and conduct performance tuning and optimization activities to ensure efficient data processing and query performance.
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Accountable for all data foundation elements of analytics product development framework, including discovery, design, deployment, quality and continuous enhancements. Experience with implementation of master data, data quality & standards and ETL tools.
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The Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team. This role will report to the Global Data & Analytics Director to maintain full alignment with the different Center of Excellence Data teams.
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Consulting to clients on tool and strategy implementation and monitoring, statistical scoring, business intelligence, data quality, and analytical product / solution development. Description Leverages complex analytical tools to provide business and technical expertise for the analytics process, tools and useful applications across multiple functions or business units to create data driven solutions.
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Experience in building data quality, master data management, or data governance solutions. Lead and oversee a large team of vendor members and ensure timely and quality delivery of data project outcomes.
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Knowledge of data governance and data quality best practices. Strong proficiency in data analytics tools (e.g., SQL, Python, R, Tableau, Power BI). We are seeking a highly skilled and experienced Senior Technical Data Analytics Project Manager/Business Analyst to lead and manage complex data analytics projects.
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Ensure data confidence and reliability through data quality standards, controls, and monitoring. Georgia-Pacific (GP) is offering an exciting opportunity for a Product Owner (PO) to join our Data & Analytics Solutions team.
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Lead and manage Data Architecture Design & Implementation, Modeling & Design, Storage / Operations, Data Security, Data Integration and Interoperability, Document, and Content Management, Data Warehousing and Business Intelligence, Metadata Management, and Data Quality.
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As a Data Analytics & Integration Lead here at Honeywell, you will play a crucial role in supporting our M&A activities. Align data and analytics solutions with business objectives, ensuring that organizational goals are supported by cutting-edge technologies, optimizing efficiency, and fostering innovation.
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Guiding managers and data architects to build design and delivery of Data processing activities like Data Ingestion, Data processing (ETL and ELT), Data cleansing, profiling, and wrangling, Data Governance (Data Quality, Lineage and Data security), Master Data management, BI reporting, and Analytics.
$233,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Design and develop custom reports, dashboards, and analytics solutions using Oracle Fusion Data Intelligence tools. Develop documentation, training materials, and knowledge transfer sessions for clients and internal teams, while staying updated on the latest Oracle Fusion Data Intelligence features, enhancements, and industry trends, and collaborating with KPMG functional teams to understand business process impact to reporting and analytics.
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Exposure or interest in data governance best practices that promote data quality. Investors have a crystal-clear picture of how their assets are performing via quality data products.
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Data Strategy: Oversee the development and implementation of data strategies, including data governance, data quality, and data integration. Technical Skills: Proficiency in data analytics tools and technologies such as SQL, Python, R, Tableau, Power BI, or similar platforms.
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Evaluating quality of data sets, identifying efforts that can be made to improve quality, and executing on those efforts to improve our accuracy and precision around cyber risk. Evaluating quality of data sets, identifying efforts that can be made to improve quality, and executing on those efforts.
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data quality jobs Title: analytics in Atlanta, AR, France
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