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Firsthand healthcare industry experience with data & languages such as e.g., SQL, Python, R, SAS using Databricks solutions within the cloud (AWS or Azure). Experience using data visualization tools (e.g., Tableau, Databricks) to share ongoing insights.
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Partner closely with Onyx's cross-functional team of product managers, engineers, and data governance specialists to create and maintain high-quality, scalable, and secure computational data governance products tailored to meet the specific needs of enterprise internal stakeholders.
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Deloitte Risk and Financial Advisory Risk, Data and Regulatory Liquidity - Manager. Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
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Description Clinical Research Coordinator B ResponsibilitiesThis individual will work under general supervisionThe CRC will be responsible for the coordination of complex oncology clinical research protocols, including accurate data collection and overseeing the quality of the clinical trial data and records, scheduling and conducting study initiation and monitoring visits, and participating in ongoing study protocol training.
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2+ years of leading a cross-functional team to deliver data projects, including 1+ year of experience as a reporting manager of a small team. 7+ years of experience as a Data Engineer writing code to extract, process and store data within different types of data stores (Snowflake, Postgres, DynamoDB, Kafka, Graph databases.
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As the chief clinical training site for the Lewis Katz School of Medicine at Temple University, the hospital provides a dynamic environment for high-quality care, teaching, and cutting edge research.
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The Sportsbook team here at Penn is responsible for working hand-in-hand with our Data Science, Engineering, and Data teams to support efficient development and deployment of models, forecasts, and simulations to help improve theScore Bet and ESPN Bet. Our team values creativity, collaboration, ingenuity, and ownership.
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Flagging Issues: Identify and flag errors, inconsistencies, or suspicious activity in voter registration data collected from canvassing teams, ensuring high standards of data quality and compliance.
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Utilize AI-driven tools for data quality and anomaly detection. Data Management & Quality: Ensure the integrity, accuracy, and consistency of data throughout the data lifecycle.
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Examples: performing assigned tasks such as verifying that accreditation related data fields are coded correctly, support the Cancer Registry Assistant with Multidisciplinary Cancer Case Conference, reviewing medical records for compliance with synoptic reporting, assisting with case review of quality measures, and other tasks as assigned.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Coordinating work efforts assigned to the Data Entry, Data Analyst and,Telecommunications Mechanics. o Managers’ Meetingso TSD / Data weekly meetingo TSD National meetingo FPS Regional Conference callso Alarm Monitor / Dispatcher Supervisory meetingso Corporate conference callso New hire selection processo Individual employee meetings.
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You can also demonstrate the Data migration cycle output to the customer + Identify Data quality issues and have the fixes in place. IBM Maximo Data migration experience in complex system integration environment Worked as the equivalent of a Data consultant/analyst as all or part of your role with related customer coordination experience in collected data, analyzing data, mapping to data, and finally migration into the target environment and is well versed with IBM Maximo data model and experience of earlier migration from multiple sources.
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At least 4-6 years combined legal experience at a top law firm and/or in-house legal department, with at least 4 years of privacy/data protection experience. Handle privacy and data protection-related inquiries related to commercial transactions from a wide range of groups across the company and provide actionable advice and legal counsel to facilitate privacy and data protection compliance.
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Familiarity with data analysis with statistical software such as R, Stata, or SAS and an interest in learning moreEducation Requirement: A bachelor’s degree in public health, social sciences, economics, data science, statistics, or a related field.
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data quality jobs Title: data manager in Philadelphia, PA
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