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Preferred Background: Experience (-+ years working experience) with data governance, constructs including technical and business metadata; Understanding of structured and semi-structured data, data quality knowledge Strong ability to drive connections with a wide variety of data platforms including AWS (Databricks, Teradata, Snowflake, Kafka), Azure, DB and SQL Server, etc.
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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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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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Citibank, N.A. seeks a Data Quality Lead Analyst for its Irving, Texas location. Implement Ab Initio process to ensure business critical data is validated and data quality is maintained throughout the process.
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Assist in data analysis for the Senior Associate Dean and Clinical Affairs team and members of CLC (Clinical Leadership Council). Project management, communication, organizational management, and data analysis for School of Medicine initiatives as identified by the Dean of the School of Medicine or the Senior Associate Dean for Clinical Affairs.
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Read and understand PCB layout images, component data sheets, work instructions, drawings and rework instructions to verify acceptability of each assembly. The primary responsibility of this role is to evaluate the quality of existing PCBA and electronic assemblies to ensure that the assemblies are built to industry, IPC, and company standards.
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Collect and analyze shop-floor data as a basis for continuous improvement and prepares daily, weekly, and monthly quality assurance summary reports. The Quality Manager will be responsible for the quality assurance function of the manufacturing facilities, OEM suppliers, and contract manufacturers for Tate.
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We are looking for a Sr. Supplier Quality Engineer (Electrical) who will define data collections and requirements in order to monitor the performance of our PCBA and PCBA supplier base. - Utilize data collection and analytics to inform strategic supplier quality management decisions.
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Surveillance: Conducts clinical record review in conjunction with area Directors and Managers for monitoring Quality and Safety data collection and reporting. Assures data-based decision making for all quality assurance improvement initiatives.
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The RN Quality Improvement Coordinator supports quality improvement activities by collecting, reporting and analyzing data; is responsible for providing project management and facilitation, as well as, clinical support for the development, coordination, implementation and evaluation of quality improvement initiatives.
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Data Governance, will be a lead on data validation and quality control with regards to Medicare Advantage Risk Adjustment. 3 years of experience in Medicare Risk Adjustment and related data sources.
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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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The Sr. Supplier Quality Engineer shall support the business in the areas of Supplier Project Management for assigned commodities, Supplier Assessments, Supplier Performance Improvement, Technical Data Interpretation/Analysis (engineering drawings, specifications, technical publications, purchase orders, etc.
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Develop training for labs on quality assurance practices regarding data analysis and interpretation. Proficient in data analysis, statistical methods and quality management systems.
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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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data quality jobs Company: Becu
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