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Improve the quality of data and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
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As Principal HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.
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May recommend data analytics strategies including enterprise data warehousing, master data management, data quality, data governance, Big Data, business intelligence, visualization.
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We will serve as a centralized development group for the data governance and data quality business needs of divisions, using tools such as Informatica Data Management Cloud including MDM, IDQ, Power Center, IICS etc.
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Experience utilizing software programs related to electronic batch records (ERBs), electronic quality management systems (QMS), laboratory information management systems (LIMS or MODA), building automation systems (BAS), manufacturing monitoring systems (MMS/PI), supervisory control and data acquisition (SCADA, PI-Historian), and enterprise resource planning (ERP.
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Experience with data engineering tools such as Databricks, Spark, Elasticsearch, Airflow, or a data warehouse. participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government.
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Manage D&S product hierarchy and Mastercard Catalog data quality as a key reviewer of new product creation and sunsetting. This Chief of Staff (CoS) position supports the EVP, Insights and Enablement, who leads an agile organization focused on supporting D&S to make better, faster decisions, using data, analytics, and technology to improve and scale measurement, reporting, and business processes.
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We are looking for a Quality Automation Engineer to support our PMG Application Development team. Automation and test data management tools such as Test Complete Pro, Ready API, Service vPro, NeoLoad, GenRocket, Delphix, Zephyr Scale/Zephyr Squad, TestRail, qTest, and HP ALM.
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In accordance with the Fragile Waters LME plan, ensure that required indicator data is collected and reported to the Fragile Waters LME lead; support LME quality assurance and reporting; and elevate issues related to data collection, data quality, and reporting in order to troubleshoot and identify solutions.
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Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.
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As a Senior QA Automation Engineer, you will perform Quality Assurance and Automation testing for data warehouse implementations, ensuring data accuracy, completeness, and adherence to quality standards.
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Our areas of expertise include:Managed Care & Care Value | Care Delivery Model Transformation Implementation | Care Management | Quality Improvement & Patient Safety | Program Management & Change Management | Program Evaluation & Data Analytics | Organizational Development & Strategic Planning.
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To support the R4D research team in collecting high-quality qualitative data through key informant interviews and focus group discussions with relevant stakeholders in the LCPS sub-sector.
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The data engineer reports to the Systems Manager and works with the team in developing and supporting high-quality, secure systems and data pipelines. The Smithsonian Institution’s Office of Advancement seeks a Data Engineer to serve as a key member of the Advancement Technology Services team as we transform our data management approach.
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data quality jobs Title: informatica Company: Kforce Technology in Washington, DC
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