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You will work closely with the MABI Brand Analytics, Digital lab, Media Strategy teams to understand data needs and requirements; Data Governance Office to implement a robust Data Quality Framework, update, and manage domain metadata, and spearhead data quality issue resolution in collaboration with BTS (IT) and source data providers.
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As a Master Data Analyst in the Global IT Master Data Management organization, he/she will be responsible for executing best in class master data management principles to drive master data quality utilizing controlled repeatable, simplified processes.
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As part of EDM, our Divisional Data Officer team is responsible for design, delivery and adoption of many of the enterprise Data Governance processes including Data Quality Management, Issue Management and Remediation, Data Lineage Management, Data Catalog Management, Business Glossary Management, etc.
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Strong background leading data governance, metadata, master data management, data architecture, data strategy, data quality, data modeling, observability, and data standards.
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Partner with the Head of IT Data technology to create a Center of Practice for Data Analytics projects - leading to consistency and high quality build practices. Knowledge of cloud-specific data services like AWS S3, Azure Data Lake, Google BigQuery, Snowflake, Azure Databricks.
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Support NGA in developing or reviewing TRD training materials, geospatial production workflows using ArcGIS Defense Solutions, and data quality assurance procedures, including the use of Geospatial Analysis Integrity Tool (GAIT), to evaluate co-produced data.
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The Sr. Supplier Quality Engineer shall support the business in the areas of Supplier Project Management for assigned commodities, Supplier Assessments, Supplier Performance Improvement, Technical Data Interpretation/Analysis (engineering drawings, specifications, technical publications, purchase orders, etc.
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Responsible for initiating a vessel file folder for each code pressure vessel before work is started, and that the data report for each code vessel is properly filled out and is routed to the proper destination.
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Use modern data analytics and Business Intelligence tools such as Microsoft Power BI, Microsoft Excel, Microsoft SharePoint, Python and Oracle SQL Developer to perform Complex data analysis to support General Motors’ Global Supplier Quality and Development organization by creating reports and dashboards.
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Qualifications:Minimum of 2 years of experience working as a Quality Engineer, Product Engineer, Process Engineer, Manufacturing Engineer, or Industrial Engineer and a Bachelor’s Degree in Engineering, Science, Math, or Statistics, or an equivalent combination of education and experience.
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The Quality Assurance Specialist is part of the Environmental, Health, Safety and Security Programs & Strategy team at Unifi and is responsible for helping drive our program evaluation and improvement efforts.
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The courses may include Foundations of Data Analytics and Programming, Advanced Excel for Data Analytics, Data Governance, Management and Quality, Data Visualization-Power BI, Data Visualization-Tableau, Data Privacy and Integrity, Data Protection, Descriptive Analytics, Predictive Analytics, Data Complexity, Cloud Analytics, Big Data, various programming courses and concepts involving python, r and ML, and database courses (including MySQL, Microsoft SQL Server and NoSQL alternatives.
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The scope of the business activities at these facilities includes: underwater vehicle systems, maritime sensors, supporting information technology & engineering services for complex maritime applications, development and support of underwater data acquisition and telemetry systems for distributed sensors for ISR, IPOE, SSW and platform signature measurement.
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BHI’s Data Solutions business segment leverages the industry’s most comprehensive and highest quality de-identified longitudinal patient database to work with partners to help them drive their patient outcomes, market insights, and real-world evidence initiatives.
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Critical aspect of the role includes defining an agile quality and compliance strategy that supports Digital Data unit in their effort to establish a standardized, resilient, and sustainable data pipeline - including data sources, data quality, data governance, data management and master data management.
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data quality jobs Title: analyst Company: Queen Consulting Group
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