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Ensures vendor data quality is maintained to GPI Data Governance policies and procedures in SAP and other receiving systems using Information Steward and Data Services (ISDS) and other data quality management tools – the role serves as the ultimate “Gate Keeper” for vendor data quality.
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Can apply basic statistics to analyze data sets including standard deviation, t-tests, histograms, ANOVA. - An interest standard process standards enabling them to learn and effectively apply a quality management system.
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Role : Data Governance + Data Quality. Nice to have: Develop and define data quality rules, manage their deployment, revision, and maintenance across the data lifecycle.
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The role sits within the Group Claims function and reports to the Group Claims Data and Insights Manager, the data scientist will be part of a global agile scrum delivery team and will be expected to work with the team to meet the sprint goals, which drive towards the data platform product vision.
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Coordinate data infrastructure work to ensure appropriate tracking is in-place to conduct high-quality analyses. As a Staff Partnerships Analyst on the Partnerships Analytics team, you will help lead strategic, data-driven decision making at Mailchimp.
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Build and Lead teams to perform root cause analysis of data governance and data quality issues; make remediation business cases and improvement plans. Track and measure data governance adoption and business value of data quality improvements.
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We have an opportunity on the Artificial Intelligence / Data Science organization at Georgia-Pacific’s Collaboration & Support Center, located in Atlanta, GA. We are looking for an experienced Lead Operations Research Scientist to join a team of Data Scientists to focus on providing support and solutions to our manufacturing operations.
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Experience with real-time data streaming platforms such as Kafka and Kinesis. We provide a unified view of Orders/Orders-adjacent data at Square, and power a variety of interfaces for our teams and third-party developers to access that data.
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Develop, implement, and maintain databases, data collection systems, data analytics, data mining, data cleansing and other strategies that optimize statistical efficiency and quality.
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Azure, ADF, Databricks, Data Factory, ADLS KeyVault, Terraform, Azure DevOps, DBT. Lead the design, development, and implementation of data pipelines and analytics solutions using Azure data services, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure SQL Database.
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Keys to success in this role is the ability to build strong partnerships with business and technology stakeholders, effectively work in matrixed teams through the completion of data management objectives and assure data quality standards are achieved.
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This may involve creating Extract, Transform, Load (ETL) or Extract, Load, Transform(ELT) processes, establishing data pipelines, and ensuring data quality and consistency. Join us as a Solution Architect at Mercedes-Benz USA and become a driving force behind our future data products.
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Solid experience implementing data lineage, data quality and data observability for big data workflows. Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data.
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The Manager is responsible for risk analysis and making risk rating recommendations to senior management by integrating and analyzing these data and making judgments on their significance and quality.
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Job Title: Staff Project Controls Specialist Data Analyst. Analyze and report on data from Oracle Primavera P6. Analyze and report on data from Oracle Primavera P6. The specialist will ensure data integrity, QA/QC program deliverables, and streamline processes.
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data quality jobs Title: data quality analyst in Atlanta, GA
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