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The Coding Data Quality Analyst (CDQA) plays a crucial role in ensuring the accuracy and completeness of encoded data used for hospital reimbursement, clinical quality and administrative reporting for Munson Healthcare system hospitals.
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We are hiring freelance English-speaking Online Data Analysts for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models.
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The Head of R&D Automation platform is responsible for leading the technical design, implementation, testing and deployment of automated processes to accelerate Takeda's portfolio starting with preclinical research and ending with submission with the objective to improve efficiency and data quality across the entire business and data flow.
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Lead the Research and Development data automation efforts to support Takeda R&D's vision to create a development engine and ecosystem that provides optimal clinical data control and quality in a predictable, automated & cost-effective way.
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The Investment Data Analyst will join the Global Atlantic Data Governance team located in New York, NY. The candidate must demonstrate excellent verbal and written communication skills and a high level of analytical aptitude, able to take on diverse data analysis and data quality management responsibilities.
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Oversee in-house built, deployment and maintenance of automated tools, scripts, and programs to increase management speed and quality of clinical trial data. Experiencewithmodern data technologies/stack such as cloud services (AWS, Azure, GCP), Containerization (Docker, Kubernetes), Databases (Redshift, Snowflake), Programing languages (R, Python, SAS), VCS and CICD (GitHub, GitLab, CodeCommit, Jenkins, CodePipeline.
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CIRES has partnered with NOAA since 1967, and our areas of expertise include weather and climate, changes at Earth’s poles, air quality and atmospheric chemistry, water resources, solid Earth sciences, and more.
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Experience with data architecture principles, practices, tools, and concepts such as data quality, master data management, data lineage, metadata management, and data governance.
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Serves as Full Stack Developer and primary data development and operations resource for a Blockchain Data Ingestion, Normalization, and Visualization project, including process development and improvement, data quality analysis, regular data management operations, and development of data visualization solutions.
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Provide support to model risk management and validation review activities conducted by the IAD such as data quality assessments and associated reconciliation(s). Remote - Data Analytics Program Manager.
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Work with the Database Architect to define data management, data governance, and data quality assurance requirements to manage the entire data processing life cycle. Analyze data to ensure it meets specific data management, data governance, and data quality assurance requirements before processing the data within the Data Lake and data warehouse.
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The Senior Microsoft Power BI Developer will work closely with project management, data analysts, and stakeholders to deliver high-quality solutions that meet the clients' needs and drive business growth.
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Knowledge of Master Data Management (MDM) and Data Quality tools. Provides individual contributions after key projects have been implemented and works closely with the IT Manager and Business Intelligence to proactively identify data quality issues, coordinate root cause analysis, implement required fixes, and perform QA validations to build exception reporting where needed.
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Understanding of modern data architecture and experience with core data services like maintaining data lakes, data warehouses, data marts and relational and dimensional modeling, data quality and master data management.
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Broad experience desired, but not essential, in multiple domain areas, such as data warehousing, business intelligence (BI), data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, MDM, data standards, regulatory compliance, and enterprise architecture frameworks.
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