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As an RN Quality Specialist you will participate in the data collection, compliance facilitation, analysis and presentation of quality data. Perform HCA Clinical Excellence initiative data collection, analysis and reporting for quality indicators including sepsis, VTE, stroke, mortality, core measures.
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You will be responsible for quality data for cardiology including Cath lab, EP lab and CV surgery. Our Talent Acquisition team is reviewing applications for our Cardiology Quality RN opening.
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ALPLA is searching for a Plant Quality Manager to join the Salt Lake City team. At least 5 years of work experience in Quality Assurance combined with a demonstrated track-record of accomplishments as a QA Manager, preferably in manufacturing environment.
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Ensure best practices in data security, data quality, and data governance. Design, develop, and maintain scalable and reliable data pipelines using tools such as Airflow, Python, SQL, and Databricks DLT.
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Collaborate with internal data analyst/science teams to provide accurate analytics to business. Analyst will be capable of understanding complex ERP, CRM and additional systems data infrastructure and how it relates to operations system data to provide value to the organization through data query generation, analysis, modeling, and communication.
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Data teams across the firm embody a keen attention to detail and quantitative discipline, focusing on data analytics and business intelligence to ensure our firm effectively and efficiently manages all aspects of the data cycle.
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The Associate BI Analyst will work on assignments including complex data analysis projects that can be multi-disciplinary or interdepartmental. COBA is a subdivision of the Dana-Farber Informatics and Analytics department led by the Chief Data and Analytics Officer that is responsible for building a world class analytics environment, enabling measurability and transparency of key institute KPIs for improved decision making.
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Our goal is to empower all teams at SoFi to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data access through self-service tools.
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Possess a comprehensive technical understanding of LIDAR technology, data quality, and relevant industry standards. The position shall evaluate and apply new LIDAR and associated technologies (e.g., new sensors and platforms, software technologies, data processing and analysis methods, data mining, geospatial modeling, UAV data extraction and interpretation, etc.
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Then join us as our newest member of the Business Management System & Compliance team reporting through the CSW Quality organization. This transformation will be accomplished through the strategic and tactical integration of the Core and Supporting Business Processes with the industry standard Quality Management System requirements to become one Business Management System (BMS) that is effectively implemented and continually improved.
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CBRE is looking for a Data Center Hydraulic Modeler to support the clients data center construction program within the Execution Engineering (ExE) team as a hydraulic modeler! + Capture and validate data for model input, including topography, pipe networks, pump curves, valve and heat exchanger curves, and operational parameters.
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As a data and implementations analyst, you will work closely with our Subject Matter Expert (SME), engineering and product management teams to understand and work across all areas of our public sector client solutions.
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In this role, you will have the opportunity to contribute to several high-quality data solutions and enhance your technical skills across many disciplines. Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation/Terraform, CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena, AWS AI (Bedrock, SageMaker, Q.
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Apply remote sensing/geospatial technologies to address natural resource applications including change detection, monitoring, extraction and classification of information from imagery using supervised/unsupervised image classification, data mining and feature extraction technologies, accuracy assessment procedures, and identifying and applying novel approaches to geospatial analysis and modeling.
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. You will utilize design thinking, secure engineering practices and lean agile methods to create unique intellectual property, and produce high quality, secure & intuitive solutions for clients across various industry sectors.
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data quality jobs Title: data quality analyst in Salt Lake City, UT
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