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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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Expertise in BI and data warehousing principles including data modeling, data quality, extract/transform/load process as they apply to data preparation for BI/ Analytic solutions.
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The Principal Data Engineer role will develop standards, guidelines, and direction for data modeling and standardization that will directly contribute to enhancing the quality of patient care and developing innovative medical devices and therapy solutions.
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Work with asset management team to analyze data quality prior to major reporting deadlines. Your expertise is needed on our Finance Team to collect and manage project data in compliance with Department of Treasury’s Community Development Financial Institutions Fund (CDFI Fund) program requirements, including all CDFI programs (FA, NMTC, CMF, ERP, etc.
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The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, analysis of clustered data, data visualization and use of novel data sources and technologies to improve data gathering.
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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.
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Quality Technologist ensures compliance with all Illinois Emergency Management Agency Div. of Nuclear Safety (IEMA) regulatory standards as applicable to CT and radiation protection and American College of Radiology (ACR) Accreditation.
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Proven Experience working with CIO/ Chief Data / Analytics officers to shape data strategy, implementation and build of data platforms on newer tech stack on the cloud. Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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Knowledge of all tools and technologies that support Sustainability and Sustainability-related activities, such as templates, forms, systems, spreadsheets, external applications (e.g., data reporting systems, R&D / Quality templates for new product development, etc.
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow. Youll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Various fringe benefits such as Nationwide Pet Insurance, Ventra Benefit Program (pre-tax dollars), T-Mobile Unlimited Talk, Text, and Data, phone plans for only $30 per line (up to 4 lines) and more.
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Good experience in end-to-end implementation of data warehouse and data martsExperience and detailed knowledge with ETL, Data Quality, metadata management, Data Engineering, streaming data loadsExperience designing and implementing complex solutions for distributed systemsExperience in leading and mentoring teams in onshore-offshore model.
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Sr. Azure Data Engineer Lead DataBricks ADF Medallion Architecture As an Sr. Data Engineer Lead you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.
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Manage and maintain vendor budgets for assigned clinical trials and process flows and data exchanges with global pharmacovigilance for clinical trial serious adverse events. Complete trial-specific Statement of Work (SoW) based on parameters supplied by Master Service Agreement (MSA) for Electronic Data Capture (EDC), electronic Patient Reported Outcomes (ePRO) and Interactive.
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Reviews data and identifies quality issuesMiscellaneous Performs other duties as assigned. Job Summary:Utilizes multiple quantitative and qualitative datasets from a variety of sources and interprets results using various techniques, ranging from simple data aggregation via statistical analysis to complex data mining.
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data quality jobs Title: pharm tech in Chicago, IL
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