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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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Oversee a clinic-wide quality improvement program inclusive of all staff and providers, develops and maintains a written clinic quality improvement plan and ensures quarterly and annual reporting and evaluation of the plan’s effectiveness to key stakeholders (i.e. clinical staff, clinic and organizational leadership, and Board of Directors.
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Support all Company initiatives as identified by management and in support of Quality Management Systems (QMS), Environmental Management Systems (EMS), and other regulatory requirements. Provides project direction, coaching, teaching, and mentoring for Quality engineering and technical team personnel.
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Solid experience implementing data lineage, data quality and data observability for big data workflows. Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data.
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We are the trusted partner to over 500 sports organisations globally, capturing the highest quality data for many of the worlds largest leagues and federations such as the NFL, NBA, MLB, English Premier League, Serie A, FIBA and the NCAA.
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2 years of relevant experience in value-based care / quality improvement roleAnalytical skills necessary to analyze and interpret routine data. Ensure accurate data collection, reporting, and submission to payers for quality programs.
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THIS IS AN ONSITE DAILY POSITION.What You’ll Work OnProvides project direction, coaching, teaching, and mentoring for Quality engineering and technical team personnel. This position is responsible for leading the development and maintenance of quality engineering methodologies and providing quality engineering subject matter expertise within new product development, manufacturing, or system/services support.
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This position manages the auditing of IT general computer controls (GCC) regarding: networks, operating systems, databases, computer operations, data security administration, and data center physical security to evaluate their effectiveness, identify risks, and recommend corrective action.
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We are looking for a Data Scientist to join our Risk Machine Learning & Decision Science team. You will have a chance to own the key metrics, develop data pipelines, ETL. You will also make direct impact to our key success metrics via building machine learning solutions, risk detection rule development and deployment.
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Experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks, Synapse, Redshift.
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Actively participate in continuous grooming and execution of the Quality Engineering Enablement Roadmap. As a Principal Web Quality Engineer, you will develop scalable automated test frameworks and tools that will enable developers and quality engineers to implement fast reliable test coverage and quality gates that run in CI/CD pipelines.
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Hands-on experience with data visualization and analytic dashboard development, experience with Tableau (preferred), Domo, Power BI, Shiny, or other platforms. As a key member of the Data Intelligence team, this includes preparing and executing analytic strategies, measurement and reporting for CRM digital and non-digital marketing campaigns and making proactive recommendations that drive the key performance goals of our clients.
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Responsibilities & Qualifications ResponsibilitiesProvide support for strategic procurement activities, including spend analysis, detailed savings analysis, and RFx developmentPerform complex data analysis using various tools (Excel, Power Bi, Monitor high-quality, value-add Procurement reports and dashboards in Power BI.Collaborate with digital product and governance teams to improve data accuracy, including the management of incidents, change requests, and root cause analysis.
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Perform data quality checks and implement data validation mechanisms. Building and managing data pipelines using AWS services such as Glue, Lambda, S3, Redshift, and Athena.
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DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. Note: Data Annotation payment is made via PayPal. We will never ask for any money from you.
Starting at $20 an hourRemoteExpandApply NowActive JobUpdated Today
data quality jobs Title: manager Company: Icf in Atlanta, ND, United Kingdom
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