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Work with Global Risk stakeholders to ensure their data quality requirements are met and ensure that data quality issues originating from Consumer business processes are remediated in a timely manner in support of policy compliance objectives, employing the knowledge of data processing and quantitative techniques and hands on experience of Data Quality Metadata Management tools: Collibra Catalog, Metadata Hub, Data Lineage Tool Solidatus.
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Additionally, the Quality Management Specialist supports the various programs' educational objectives and effectively interfaces with clinical partners to successfully monitor and improve electronic medical record efficacy, with a primary focus on Hierarchical Condition Category (HCC) capture rates, Healthcare Effectiveness Data and Information Set (HEDIS), Pay-for-Performance and Medicare STARS quality measures.
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Main Responsibilities: Collaborates, together with Quality, Sanitation, DCT, Corporate Food Safety and Production Team on new project design, implementation, Collects and analyzes data regarding lethality of new products Collaborates with Quality Specialist (Supervisor) on innovations, ingredient documentation, sampling/sensory, allergen profile, etc.
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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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General computer skills evidenced by hands-on work with computerized Operations equipment (SCADA); and reporting and data analysis software (Word, Excel, Visio, JMP, Minitab, etc. Experience as performer or reviewer in Quality Management Systems, DMS, Deviation/CAPA, and Change Control required.
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Identifies through extraction errors or concerns in workflow and works with the coding department to improve data quality and coding on MIPS and other key quality, operational or patient flow When noted, the Clinical Quality Coder I will correct quality errors and stat code errors in the system to improve data integrity in facility dashboards and provider scorecards.
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Knowledge of statistical methods and being able to apply that to detect outliers in data sets and/or to create thresholds such as Quality Tolerance Limits (QTLs) as required by ICH E6 (GCP) is a strong preference.
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Remote Work From Home Data Entry Clerk for Entry Level Position Work at home position for job seekers from virtually any work background who are interested in part-time, side gigs, micro jobs, work from home jobs and remote telecommute jobs.
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QTS Data Centers is a Blackstone REIT Portfolio companyQTS Data Centers is seeking a DCIM Engineer II / Controls Engineer II (Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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We provide training and tools to help you succeed in this industry Excellent gig for Stay at home moms, retired folks, disabled people and anyone looking to learn how to make income online. This is a great way to earn extra money in your spare time by working at home.
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As a member of the Data Quality (DQ) Audit team, the candidate will be accountable for managing and executing audit programs designed to measure and report on data risk across the enterprise.
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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. The teamThe US data engineering chapter is a professional practice of data and data quality engineers.
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Responsible for clinical data abstraction from the medical records of trauma patients for the purposes of quality improvement. This role also develops and implements injury prevention activities as indicated by the Providence Holy Cross trauma population and our local epidemiological data.
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Demonstrated experience in leading data migration projects, implementing data governance, and enhancing data quality across enterprise systems. Advocate for and implement data quality governance and standardization across enterprise systems, significantly enhancing data integrity and reliability.
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data quality jobs Company: Spacex in RI, Canada
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