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This role will assist in designing and developing advanced analytics methods, including data mining, predictive modeling, and other complex statistical analyses, using a broad array of datasets to focus on identifying areas for Stars quality improvement.
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We are seeking a Senior Staff Data Engineer for our team to ensure that we continue to provide all patients with high quality, efficient care. As a Principal Data Engineer you will be part of the data engineering community which includes data platforms, data warehousing, data science, software engineering, and visual insights.
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Support digitization and data verification automation to improve the quality of data and reduce manual work. Improve data quality as per the data quality framework and working with the data owner.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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We are seeking a(an) Trauma Data Abstractor Team Lead for our team to ensure that we continue to provide all patients with high quality, efficient care. As a Data Abstractor Team Lead, you will be responsible for day-to-day operational activities as it relates to abstraction of data for trauma registry.
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Partners with the centralized Data Governance team to implement and support data governance and data quality requirements. Ensures compliance by performing quality data audits, mining, and management.
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Extensive experience in data management practices, including data governance, data quality, and data lifecycle management. Develops and implements strategies to improve data quality, accessibility, and integrity.
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Uses programming languages such as Python, R, SQL, and Jupyter for statistics, mathematics, algorithms, modeling, data visualization, and reproducible research and reporting. Uses cloud computing, cloud-based services and APIs for data storage and access, machine learning, and artificial intelligence (AI.
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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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Firm understanding of data modeling, master data management, data quality, enterprise data warehousing, ETL, reporting, querying, requirements analysis, and data integration techniques and associated tools.
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NAS is committed to partnering with the Air Force and the workforce at AEDC to drive the change necessary to ensure the long-term viability of the Complex while ensuring mission success: no impact to customers, no loss in data quality, and no reduction in productive test time - ultimately securing AEDC's long-term future and world-class superiority in aerospace and flight testing.
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Develop and implement data lifecycle management strategies, including data governance, data quality, data integration, and data security, to ensure the availability, accuracy, and reliability of data assets.
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Methods and procedures for tracking data quality, completeness, data redundancy, and improvement. strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.
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Solid understanding and experience leveraging data quality tools like Abinitio, IBM InfoSphere, Informatica, Talend, etc. Deep knowledge about data quality capabilities - profiling, rules development, validation, outlier detection, monitoring, alerting & notification, stewardship workflow for data remediation, etc.
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We are seeking aData Quality Lead for a direct hire role based out of Nashville, TN. This role can work hybrid or remotely and will be responsible for the quality of business data used in the new system environment, including data coming from legacy environments.
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data quality jobs Title: data in Nashville, TN
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