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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
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Data Integration: Integrate various data sources (on-premises and cloud) into the Informatica Cloud Data Marketplace. Technical Skills: Proficiency in Informatica Cloud Data Integration tools and Informatica Intelligent Cloud Services (IICS.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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Data Conversion and Integration Experience: Demonstrated experience with Oracle HCM Cloud data conversions and integration tools, including Oracle Integration Cloud (OIC), BI Publisher, HCM Extracts, HDL (HCM Data Loader), UCM, and managed file transfer (MFT) tools.
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Drive strategic product communications, owns customer engagement and identify customer requirements by considering data, customer feedback, and user research, and designs product value propositions for large tech and cross-functional audiences.
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Working knowledge of ArcGIS Maps SDK for JavaScript, REST, SOAP, and WMS web services and their associated data exchange formats including XML and JSON; backend development experience, including web development, Arcade, SQL, and Python scripting, is a plus; familiarity with AI/ML is a plus, but not required.
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Design Data Lake and load the data to Data Lake using ETL and PYSPARK-Work with AWS- EC2, VPC, EBS, Athena, Aurora, RDS, DMS, EMR, S3, Redshift. -Architect, Design and develop Data Governance platform using Informatica DG products Informatica EDC AXON, -Experience configuring Informatica Data Governance using EDC and Axon, including business glossaries, dashboards, policies, search, Axon Workflows.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Manage the Case Worker Hub App and Optify Dashboards by ensuring Stabilify receives data access it needs from OCFS. Engage in data analysis and reporting, data visualization, research, and evaluation, and support the CQI team in the development of appropriate qualitative and quantitative methodologies.
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Data Loader Management: Prepare and manage HDL (HCM Data Loader) for data conversions, ensuring accuracy and efficiency in data migration to Oracle HCM Cloud. This includes driving HR technology implementations through technical process designs, solution architecture, data conversion, integrations, report development, process playback, user acceptance testing, cutover, and production launch.
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We are seeking a skilled Data Analyst with expertise in fixed income analytics, particularly in structured products such as MBS/CLO/ABS/CDO or any other similar product. Analyze and interpret fixed income data related to MBS/CLO/ABS/CDO or any other similar product.
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Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks, and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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data job Company: Usaa in New York, NY
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