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Data Management Analyst - Anesthesiology. Utilizing analytical and data management tools, performs intermediate level data creation, management, analysis and troubleshooting activities in support of multiple research projects and studies.
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Coordinate with other application teams for data integration, such as ETRM systems, ISO Market Systems, SCADA and data warehouses. Developing, testing, and deploying data pipelines, data lakes, data warehouses, and data marts using AWS services such as S3, Glue, Athena, Redshift, EMR, Kinesis, Lambda, and more.
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They will lead a team of data scientists to develop cutting edge artificial intelligence (AI) and image processing methods for digital pathology, and to conduct clinical evaluation studies for implementation of these AI tools in the pathology clinical work flow.
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Experience working with Market data vendors such as Platts, Argus, Refinitiv(LSEG), Bloomberg as well as exchanges ICE, CME etc. Our teams include technology, digital transformation and data, operations, human resources, business services, corporate strategy and solutions and the Macquarie Group Foundation.
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Import/export data between Petra and SMT projects. Essential Job Responsibilities: Create input data, update and maintain Petra and SMT projects. Populate and manipulate data in Excel and Access, importing formation tops, perfs, pressure and production data into PETRA software.
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Configure data system to route new signals from instrument through the data acquisition hardware and have it displayed on the user interface in the correct units (this may include installing patch panels or updating calibration curve information for instruments.
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Skilled in laser scanning, point cloud data management, brownfield 3D modelling, and data integration (preferably in AVEVA tools/technologies) Should have significant hands-on experience in using AVEVA E3D modelling and other relevant tools for laser scanning, 3D modelling, data integration, and digital twins.
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As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Able to write simple queries using SQL to retrieve data from Snowflake for data load in PBCS. Experience with Hyperion Essbase (System 11. Experience in building dimensions using EDM, Load data using data management.
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The Data Analyst will gather and maintain metrics and data to measure the impact of all aspects of Live Nation’s supplier diversity and inclusion initiatives. Reporting to the Program Manager of Supplier Diversity & Inclusion, this role requires a combination of data analysis, relationship building, and identifying opportunities to ensure Live Nation maintains an inclusive business environment and meets its diversity commitments.
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NET Core ASP.NET, MVC, Entity framework, Unity, o JQuery, knockout, Angular, JS libraries, CSS Bootstraps, Visual Studio 2017, REST, LINQ, ArcGIS, ESRI, SQL Server, Dynatrace, o Cloud Managed SQL, Big data/data lakes.
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About the role As the SAP S/4 HANA Finance Functional Lead, you will be responsible for various development activities associated within the SAP Finance module, Vendor Invoice Management (VIM) and the SAP Master Data Governance - Financials (MDG-F) modules.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world.
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Substantial experience (3 years) as a GIS Administrator, Analyst, Specialist, or Technician in geospatial spatial data development, management, and analysis. ü Familiarity with remote sensing principles, satellite imagery, aerial photography, LiDAR, and experience with such data collection, manipulation, and distribution.
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Net, D365, PowerApps, PowerBI, Power Automate Full BI Stack (SSIS, SSAS, SSRS) Top requirements: ERP data conversion, implementation, interface designing, mapping and deployment Familiarity with SAP ERP including data conversion will be plus Hands-on experience delivering Dynamics portfolio including: D365 Finance, D365 Project Operations Attach, D365 Project Operations Sub, D365 Supply Chain Management, and D365 Team Members.
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data job Title: data analyst Company: Morani Enterprise in Houston, TX
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