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Experience with data management processes and tools and applications, including process mapping, profiling, creation of rules and building lineage (e.g. Collibra, Informatica Data Quality, Ataccama.
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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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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Collects trauma data for injury research and prevention, as well as quality improvement tracking. The Trauma Registrar, in collaboration with Trauma program leadership, develops and assures the quality and accuracy of the trauma registry database.
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Establish Data Quality Thresholds for CDEs. Oversee buildout of data quality reports for Critical Data Elements (CDEs) Lead the Data Program's platform Administration for Informatica EDC, AXON, IDQ, and Informatica Cloud IDMC platforms.
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In addition, ensure that Aligned Data Centers comply with OSHA, Department of Environmental Quality, Environmental Protection Program regulations, or other applicable regulations. The South/NW Regional EHS Manager is responsible for implementing Aligned corporate safety policies, programs, and requirements for Aligned construction projects and established data center operations.
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As a full-service environmental consulting practice, services include impact assessment and planning, regulatory compliance and permitting, wetland and floodplain analysis, waterbody and water quality assessment, air quality permitting and management, environmental remediation, site due diligence, environmental noise assessment, pollution prevention planning, and climate action solutions.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Position Description: The Sr. Clinical Informatics Nurse Analyst is a member of the SCA Health Clinical Quality Informatics team and provides data analytics, project management, application, and end user support to the SCA Health community.
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Identify data discrepancies and data quality issues, and work to ensure data consistency and integrity. The Data Warehouse Architect role involves strategically designing and implementing data warehouses, data marts, and data stores as well as requisite ETL (Extract, Transform, Load) and visualization (reporting) development while ensuring high levels of data availability.
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The role requires expertise in areas that include performance management/analytics, data exchanges, electronic medical record systems, provider workflow and processes, health information management, risk adjustment operations (particularly on the prospective side), value-based care, ICD-10, CPT and HCPCS coding principles and guidelines, and population health management.
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Excellent skills at data visualization and reporting - Demonstrated skills with Data, BI and Reporting software packages such as Alteryx, Business Objects, Tableau, Looker, Amazon QuickSight, Power BI, etc.
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Implementing BIG-DATA platform for HIE interfaces using Mongo DB, Apache Spark, HDFS, Zookeeper, and Ambari. Converting the HL7 messages into necessary format and storing data in the MYSQL and SQL databases per architecture and making it easy for FHIR interface.
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The successful candidate will join a strong, globally distributed Data Science team that develops and applies innovative methods and tools to deliver insights for Corteva R&D. The candidate will partner with leading toxicologists, environmental scientists, and discovery scientists to support our growing data science effects in predictive safety.
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Further, you will build reusable production data pipelines for implemented machine learning models as well as write production-quality code and libraries that can be packaged as containers, installed and deployed.
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data quality jobs Title: informatica Company: Reliable Software Resources in Dallas, TX
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