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Proven experience as an SAP Data Services (DS) Senior Consultant with integration experience with SAP Master Data Governance (MDG) and other SAP and non-SAP systems. We are seeking a skilled SAP Data Services (DS) Senior Consultant with experience in integrating SAP Data Services with SAP Master Data Governance (MDG) and other SAP and non-SAP systems to join our team.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies.
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You will work closely with other Localization Analysts, Sales and Product teams, Data Analysts, and Software Developers to adapt our product for the local markets we operate in. Bloomberg runs on data and technology.
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The Lead Data Scientist identifies and delivers dynamic and reliable analytics products and services by leveraging internal and external data to enable faster decision making across Novo Nordisk; and contributes to the growth, competitiveness, and innovation of the company.
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The Princeton Neuroscience Institute has a Data Analyst position available in the Brain Registration and Histology Core Facility of BRAIN CoGS ( This multi-laboratory project seeks to understand how multiple brain regions work together to carry out cognitive processing, using mice as a model system for mammalian brain function.
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Maintain the existing proprietary database of Syndicated Loans, currently via manual data entry and in the future, via remediation workflows upon implementing automation. The Americas Loans team is responsible for acquiring and maintaining the full life-cycle of data relating to all types of Syndicated Loans and Private Credit deals.
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Architect the Unity Catalog to provide centralized access control, auditing, lineage, and data discovery capabilities across Databricks workspaces. Designed data warehouse and data lake solutions along with data processing Pipeline using PySpark using Databricks.
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As the Cross Asset Sector Team Leader, you will be responsible for leading a team of Data Engineers and Data Management professionals who are creating and improving ETL processes, coding, and maintaining workflow configurations, designing, and governing metadata/data models in a FAIR (findable, accessible, interoperable & reusable) manner across the Securitized Products Data Teams and in-line with Bloomberg Data as a whole.
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Understanding in single case processing, aggregate data review and evaluation of drug safety issues, adverse event dictionaries, literature publications, core labeling, and Periodic Safety Review preparation is required.
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The Senior BI and Data Analyst will be responsible for the development of enterprise analytics solutions for diverse business units within Novo Nordisk. Knowledge of Pharmaceutical Data like iQVIA, KOMODO, Veeva, Customer or Product Master Systems is a plus.
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We are seeking a highly motivated drug discovery data scientist to join our Data Science and Advanced Analytics team in LDO. Our team is responsible for developing informative analysis tools and inferential models for machine learning (ML)-enhanced lead discovery.
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Hands-on experience in developing scalable data pipeline using technologies like Kafka, Databricks, Spark and Scala applying ETL and ELT concepts. Experience in implementing data lake systems using cloud native technologies such as S3, Redshift, EMR, Hive, Presto, Spark.
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The Operations Management team handles requests for new or changed access to services, chargeback reporting, contract administration, market data invoice processing and general inquiry handling for index and market data services.
$95,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Abbott Point of Care (APOC) is a global leader in providing critical medical diagnostic and data management products for rapid blood analysis that are intuitive, reliable, and cost-effective. Experience selling or marketing medical devices or diagnostics to outpatient facilities (e.g. urgent care, physician office lab, free-standing ED, ambulatory surgery center, etc.
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You have a strong knowledge and practical experiences with high density data types in a clinical setting (genomics, transcriptomics, proteomics, flow cytometry, TCR sequencing, immune assays, etc.
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data job Title: senior data analyst Company: Booz Allen Hamilton in Princeton, NJ
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