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7+ years of experience in research strategy, business intelligence, or data science roles. The ideal candidate will have strong background with entertainment KPIs, market intelligence, research strategy, data management, and business intelligence, with a proven track record of building impactful dashboards and developing analytic solutions and predictive models.
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BS (preferably Masters) in engineering, data science, computer science, statistics, business analytics, or related field. In this role, the Director will collaborate with cross-functional teams and stakeholders across SPT and manage the ingestion of large data sets, advance automation opportunities, and leverage cutting-edge data science techniques to drive strategic decision-making and business growth.
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Working knowledge of business intelligence, data science, and analytics infrastructure and operations. Collaborate with systems, data and analytics teams across the enterprise to integrate data, optimize technical and business processes, and consult on best practices in data management, reporting, etc.
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Lead the configuration and maintenance of the OneStream platform, including workflows, data sources, transformation rules, business rules, calculations, dashboards, data management sequences, and cube/master data.
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Design, develop, validate and perform thorough functional testing of extracts, reports, visualization dashboards utilizing analytics tools and data sources such as, including but not limited to: Microsoft Excel, Tableau, WebI, SSRS, Power BI, Caboodle, Clarity, Reporting Workbench, Radar Dashboards, Universes, Registry Framework and Data Marts, SlicerDicer, and other Business Intelligence Tools.
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UMG’s Analytics & Insights team within the Global eCommerce & Marketing group is looking for a Senior Business Intelligence (BI) Developer to help unify data sources, package analyses, and communicate meaningful insights to internal, label, and artist management audiences.
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Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth.
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Works with senior or lead data scientists' business partners to identify areas where data science can best deliver value. Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
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Collaborating with the Head of Technology, the Business Intelligence Engineer will design, develop, and support business intelligence solutions that turn data into actionable insights that support business decision-making, analytics, and product development.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem that impact user communications, content operations, content programming, music, and user support.
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The Global Manufacturing Excellence organization will be the center of excellence in Global Manufacturing under Downstream business line within This Company for Digital transformation, Artificial Intelligence technologies and data science.
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Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools. 3+ years of experience in Data Analytics & Science supporting anti-fraud, risk, trust & safety, or integrity problems.
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Experience in one or more of these key domains:insurancepolicy administration and/or risk management, or financial data reporting or invoicing systems; business intelligence systems, CRMs, and/or HRIS systems; cyber threat intelligence collection and analysis.
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Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience.
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business intelligence hands on data science jobs Company: Dice in Culver City, CA
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