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As the coding data quality auditor you are responsible for the coordination of auditing and education in support of achieving organizational strategic initiatives. Performs functions as both coding data quality auditor/educator and is responsible for providing oversight on education and audits of medical records in compliance with federal coding regulation and guidelines.
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Implement data lineage capability to understand data movement across the enterprise Implement data governance and standards including data definitions, data quality rules, data lineage, business glossary functions Support domain owners and data stewards to analyze quality issue root causes and remediation efforts.
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A licensed clinical social worker is needed to perform the tasks required to improve our quality scores for Healthcare Effectiveness Data Information Set (HEDIS®) from the National Committee for Quality Assurance (NCQA.
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Use data science methods, including but not limited to Artificial Intelligence/Machine Learning (AI/ML) approaches, to perform data processing (e.g. filtering), feature recognition, alarm threshold determination, pattern matching, statistical trending, scoring of detection quality, and integration of other information into decision making.
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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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As the Data Quality Analyst, you will work in an agile development environment, using your knowledge and data analysis expertise to provide reliable feedback and reporting on data trends and issues affecting data quality to inform business decisions and improve systems development and performance.
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The division ensures the continuous delivery of an adequate, reliable supply of high quality drinking water through the Catskill and Delaware Aqueducts to approximately 9.5 million people in NYC and upstate communities in an environmentally healthy, safe, fiscally responsible, and efficient manner while maintaining compliance with the provisions of the Supreme Court Decree of 1954 and all other applicable environmental, health and safety laws and regulations.
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The Data Intern will work on projects such as customer knowledge using Machine Learning, data information capture using API and ETL, Customer data quality or Supply reporting.
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The Technology and Data lead role is focused on Implementing coverage of Data / IT Compliance capabilities to drive data quality control obligations mandated by the Citi Data Governance Policy and Standard for safe and sound Model and End User Computing (EUC) landscape practices through a comprehensive first-line framework, and governance and controls activities, including the formulation of the strategy across the Model and EUC Lifecycle.
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Key responsibilities include meticulous handling and processing of incoming data, such as genomic sequencing or biosensor data, as well as performing detailed quality control checks and downstream bioinformatics analyses.
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Experience with reliability engineering specifically in areas such as data quality, data observability and incident management. Experience with big data technologies like Trino, Spark, Hadoop, Airflow, Kafka.
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Familiarity with data governance practices, data quality frameworks, and data security principles. A day in the life of a Data Engineer states with building and delivering high quality data architectures and pipelines that support clients, business analysts, and data scientists.
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Management of data and presentation for Medicine Quality Improvement Committee meetings, in coordination with CHS Medicine leadership. The role will involve developing a deep understanding of workflows and operations of the CHS Medicine service and working across disciplines to coordinate quality initiatives, analyze data, and support presentations.
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Work with the Database Architect to define data management, data governance, and data quality assurance requirements to manage the entire data processing life cycle. Analyze data to ensure it meets specific data management, data governance, and data quality assurance requirements before processing the data within the Data Lake and data warehouse.
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5+ years of experience with Microsoft Big Data solutions with experience in SQL Server (2017 or higher), Azure SQL technologies (Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services), and a broad experience with related tools (CDC, Columnstore Index, In-memory Table, SSAS Tabular, DAX, T-SQL, SSIS.
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data quality jobs Title: developer Company: Diverselynx in New York, NY
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