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As part of the Quality and Safety division, Data and Analytics (DnA) empowers NYC Health + Hospitals and its partners with data, digital tools, AI capabilities, and insights to drive quality and performance improvements, support enterprise operations, and enhance patient outcomes.
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Experience in implementing data quality management processes, data governance, cataloging, and master data management principles. · Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery.
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Through the analysis of data and the creation and implementation of strategic quality management processes, the Director of Data and Quality Management for POH will ensure programs are meeting compliance standards.
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We are hiring for a Principal Product Manager (Technical) to drive the evolution of products which provide Amazon business teams and selling partners (marketplace sellers and retail vendors) with comprehensive, accurate, and standardized metrics in a timely manner to enable high quality, high velocity decisions.
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Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the data. Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc.
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Evaluate and Recommend tools and frameworks for various data management capabilities (i.e., Metadata, Lineage, Data Quality, Data Protection) Under DSM Executive’s leadership, the SCI team will develop a holistic vision on how best to structure data sourcing and data quality control strategy for GRM so it can unlock business value.
$107,000 - $183,200 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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As digital technologies advance and regulations tighten, today’s consumers – and, therefore, today’s businesses – are becoming more aware of the importance of good quality data. As a Data Scientist, you will create tailor-made solutions from complex client anti-money laundering (AML) and anti-financial crime (AFC) data applying mathematical, problem-solving, and coding skills to manage big data to extract valuable insights for our clients.
$111,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Participates in quality assurance, data validation, and improvement activities to ensure accuracy of data collection and timely submission of data according to State Trauma Registry and the American College of Surgeons Optimal Resource Document for Trauma Centers.
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Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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NYCJA's Information technology team provides strategic vision, leadership, and innovative solutions so that our 280+ staff at 13 locations have the trusted data and applications they need to provide high quality pretrial services and research.
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LI-NC1 Preferred Qualifications: Knowledge in enterprise data management architecture and principles, master data management, data governance and data quality Knowledge in data modernization, Cloud, data migration and digital transformation MBA or master’s degree or equivalent experience from a top-ranked institution.
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The team independently maintains the HEDIS/QARR data repository that informs reporting of HEDIS, QARR, and PCMH data to NYS DOH and CMS. To that end, the team carries the responsibility of ensuring the monthly rates and annual HEDIS and QARR submissions are timely, and quality checked for accuracy and completion.
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Experience in working around Core Banking application, Enterprise Data Warehouse, Payment application, Compliance application (Actimize), Cash Management and Loan IQ. Experience on TOSCA BI/Data Warehousing Data Integrity Validation, Web & Desktop applications.
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Perform data reconciliations, validations, and quality checks. Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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data quality jobs Title: data scientist Company: Deloitte in Long Island City, NY
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