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Drive Data Strategy & Data Governance offering sales pipeline through cross practice/cross channel sales activity. A Data Governance Engagement Manager will also be expected to be able to completely own and manage all aspects of a client engagement, as well as drive sales for the Strategy Offerings.
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The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way. Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning.
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These include, for example, data from the Army, Department of Defense, Veterans Affairs, Social Security Administration, credit bureaus, and the National Student Clearinghouse. Research Analysts in this position work with PhD economists to conduct empirical research on topics in labor and public economics using administrative data from government, non-profit, and private sources.
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This Associate will play a key role within the Consumer and Wealth Management division, overseeing media governance for Marcus by Goldman Sachs, Ayco, Goldman Sachs Personal Financial Management and Goldman Sachs Private Wealth Management.
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Reporting to the Chief Information Officer the Data Engineer is primarily responsible for developing and maintaining robust data integration pipelines between various systems such as internal OLTP databases, third-party vendor platforms, and an Enterprise Data Warehouse (EDW), scoping requirements for advanced reports, developing metrics and dashboards, and making recommendations for process improvement based on analysis of historical data.
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The Model Validation Analyst assists the Director in the preparation of reporting related to model validation, model governance, and model risk management for presentation at the Model Risk Working Group meetings, Management Committee meetings and Caliber’s Risk Committee meetings.
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Bachelor’s degree in Computer Science, Engineering, Management Information Systems (MIS), Business or related/relevant degree AND minimum of 5 years of experience as a Data Engineer, Database Developer, BI Developer, Software Engineer, Programmer, Technical or Systems Analysts, and/or Database Administrator preferred.
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Support CRFs development, data mapping specifications, DVP, DMP, and data transfer specifications and tests EDC system functionalities. Knowledge of CDISC data standards, preferably with experiences of hands-on implementation.
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Expertise in Data warehousing - data modelling, relational and Dimension modelling, Data quality, data catalog and Data Governance. Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, ADLS-Delta lake, Azure functions, Logic aps, Synapse, Azure Logic Apps, Azure Storage, Azure Search, Purview, Azure SQL server, Scala/Spark/SQL/PYTHON etc.
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Familiarity with Information Governance technology ecosystem and how it supports Information Governance processes including: enterprise content / document management systems, records management systems, archival systems, legal hold management systems, mobile device management systems, communication surveillance applications, privacy compliance management systems, data discovery and scanning, etc.
$116,200 - $213,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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The Sales Data Coordinator will be responsible for US distributor reported data integrity and sales related master data. They will manage all master data within VIP SRS. In collaboration with IT, they will drive data enrichment and enhancement projects to advance reporting capabilities.
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Experience with distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
$73,000 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Collaborate with cross-functional teams to establish data governance frameworks and adhere to data management best practices. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Expertise in Python, R, SQL, statistics, data mining. 12+ years of experience working in the field of Data Engineering and Data Science. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc.
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Title: data governance Company: Lmre
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