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Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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Develop knowledge of new analytical techniques and data sources that provide ongoing risk mitigation, and how emerging data and technology issues may impact the achievement of BSA/AML Compliance Department’s objectives.
$196,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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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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Propose, build and execute data analytics solutions in support of the full Audit life-cycle objectives using tools such as SQL, Python, Alteryx, QlikView, Toad, Tableau, Business Objects, and others.
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Experience with Power BI or other business intelligence/data visualization software. Job Description The Associate Director for Data Analytics, Enrollment Management will be a key member of the Enrollment Management team who understands Admissions and Financial Aid strategies for undergraduate students and how to harness data and analytics to shape, influence, and model enrollment.
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The Strategic Operating Platform will support production processes for generating the following business deliverables, 1) Forecasts that provide input for allowance setting, financial and operational planning, PnL calculations, Comprehensive Capital Analysis and Review (CCAR) submissions, and other business decision making, and 2) Assessment of model performance of forecasting against actual historical outcomes or comparison to benchmark models or external data.
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Familiarity with Agile Scrum principles and ceremoniesPreferred Qualifications 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, exposure to reliability engineering best practices a plus.
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The Data Science & AI team with Commercial Analytics & AI (CAAI) organization is committed to transforming data into actionable intelligence, empowering Pfizer to stay competitive and innovative in today's data-driven landscape.
$342,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will be embedded on the Orchestration team that runs workflow scheduling applications and data ingestion infrastructure that helps power the analytics, operations, and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
$219,200 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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PREFERRED EDUCATION AND QUALIFICATION REQUIREMENTS: Bachelor’s degree from an accredited college required (preferably in data science, mathematics/statistics, computer science, or criminal justice) or the equivalent education and experience.
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Manage the integration of performance, flow, market and risk data for the asset management platform and use data science techniques to identify drivers and trends. Lead the development and delivery of data science solutions to empower our Risk employees.
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The primary responsibility of the team is to leverage data, latest tools, and advanced techniques to innovate and help the organization make sound forecasts of the company’s Billed Business and Loan amounts for all of AXP in the context of the annual Comprehensive Capital Analysis and Review (CCAR) exercise.
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Collaborate across multidisciplinary teams—Compliance, Data Science, Model Risk Management, Data Governance, and Human Resources. This position reports to the Head of Fair Lending and works closely with the Head of Data Science, Fair Lending Compliance, and Model Risk Management to establish and lead a comprehensive and robust Fair Lending Analytics function.
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Process AI & Automation Developer (Manager) (Multiple Positions) (1509604), Ernst & Young LLP, New York, NY. Analyze business and data processing problems to implement and improve computer systems using robotics technology.
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Bachelor's degree (or higher) in either Computer Science, Management Information Systems, Business Information Systems, Mathematics or Finance related field. Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production.
$218,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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