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Use industry leading data science and artificial intelligence (AI) practices to deliver on Intermountain Health's mission to 'Help people live the healthiest lives possible'; making healthcare more affordable and higher quality; and making a difference in the patients and communities we serve.
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Requires at least 12 years of experience in Enterprise Data & Analytics, including Data Management (Master Data management, Reference Data Management, Data Quality), Data Warehouse, and Business Intelligence disciplines.
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This position will perform data analysis tasks and support the development of data tools as part of project teams that serve clients with the U.S. Environmental Protection Agency and other government agencies in the areas of drinking water protection, climate resilience, and surface water quality management.
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Design, develop and productionize data engineering pipelines on a massively parallel processing (MPP) and cloud-based tech stack, utilizing solution aspects from hybrid-clouds like Microsoft Azure, Amazon Web Services (AWS), data lakes and multiple data warehouses.
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Experience of data dashboard or programmatic data visualization using Tableau, Qlik, Power BI, Python, D3. Strong hands-on experience in the Bash scripting and Python toolkit for data manipulation and machine learning (e.g., NumPy, Scikit-learn, TensorFlow, PyTorch.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Knowledge of data governance, data quality, and data security best practices. Identify and prioritize data sources, ensuring data quality, integrity, and accessibility.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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We’re Not looking for a JUST an Agile Scrum Master, we’re looking for a former Data Engineer with SQL and PowerBI skills who has worked on Data projects, Data engineering skills, who is a results-oriented Scrum Master who can affect change, impact a team and help drive change in a positive way.
$110,000 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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In addition to delivering high-quality, security improving outcomes to WWT’s customers, the role will also be instrumental in supporting the solution manager in the evolution of the data security service offering and the sales organization with pre-sales support and enablement.
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As a People Analytics Consultant, you willengage with clients to advance their people analytics capabilities across strategy, people, process, data and technology and to help them to deliver business-driven, actionable people insights across work, workforce and workplace topics (e.g., DEI, attrition, mobility, future of work, talent acquisition, compensation, performance management, etc.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Builds and manages data warehouses using technologies like Amazon Redshift, Google BigQuery, or Snowflake. including data processing using Apache Spark, Delta Lake, Unity Catalog, and MLflow.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Leads Quality Systems (Policy/Document Control), Predictive Quality (Red Zone), Reporting/Scorecard Development, Sanitation/Pest Control, Microbiology, Internal Audit, and Consumer and Customer Care. Promotes the development/implementation of aligned risk assessment approach which includes verification, validation, and monitoring of effectiveness of food safety plans, company food safety procedures and regulations for current processes and new line and equipment commissioning.
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Nationwide embraces an agile work environment and collaborative culture through the understanding of business processes, relationship entities and requirements using data analysis, quality, visualization, governance, engineering, robotic process automation, and machine learning to produce targeted data solutions.
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Understanding of industry standard technologies to support Clinical Development needs (e.g., CTMS, SAS, R or Python, Data Warehouses, SharePoint) Prepare, test and implement post production changes as per study needs while ensuring data integrity.
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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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Develop end to end data pipelines using Azure Data Factory and Databricks (Python, SQL) At Casey's, every event generates data: a pizza delivery, filling up a gas tank, a truck pulling into the lot, pouring a cup of coffee.
Full-timeExpandApply NowActive JobUpdated 16 days ago
Title: quality data in Iowa, IA
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