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You will be responsible for building out a holistic view of performance as well as a detailed analytics roadmap by leveraging analytics tools (i.e., SQL/Hive/Hadoop/Cloud, Adobe Analytics, VisualIQ, Tableau/ThoughtSpot/Looker, etc.
$96,000 - $186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of real-time data streaming and real-time analytics Knowledge of Microsoft suite of tools is desired (Power BI, Synapse suite of analytics tools, Azure Data Factory) Strong implementation skills and working knowledge of data structures, algorithms and big data tools (Spark, Hadoop, Python, SQL, NoSQL, Hive); Must have hands-on experience using Spark.
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Your work will illuminate the path to data-driven decision-making, enabling agile adjustments and maximizing ROI.Support CX & MDS in building advanced new digital media analytics capabilities to support precision marketing and our 0/1PD use cases.
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Modern Management - Mobility and Security Solutions in any of the following: Microsoft Intune; Autopilot, Desktop Analytics, Conditional Access, identity governance, Azure Active Directory (AAD), Microsoft Cloud App Security (MCAS); Advanced Threat Analytics; Defender for O365, Microsoft Endpoint Configuration Manager.
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3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala.
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Possess strong proficiency in data analytics to effectively communicate current and potential IAM cyber security risks to all levels of the business with clarity and urgency. Our office is headquartered in Newark, NJ, across from the Newark Prudential Center and Newark Penn Station.
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Education and Experience Active degree-seeking students who are enrolled in a relevant degree in supply chain management, data analytics, marketing or business and within 12- months of graduation.
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Supporting the development and implementation of a data strategy that enables current and future data processing, analytics and reporting requirements in alignment with the overall Pershing X’ data strategy and priorities.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Domain knowledge of derivatives and fixed income trading, pricing, analytics, middle office ops is a plus. Design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies.
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Understanding of UX, web design, analytics testing, information architecture, metadata, taxonomy, and their inter-relationships within the website channel. Systems experience w/ Salesforce, HubSpot, Pardot, Marketto, Google Analytics (or similar), 6sense, Braze, and/or ChiliPiper.
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The Department is home to research labs in AI, machine learning, computer vision, big data analytics, programming languages, cryptography, computer security, and software systems, and is the main constituent of the Stevens Institute for Artificial Intelligence (SIAI), an interdisciplinary research center that brings together over 100 faculty members across the University.
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Programs, and specialty master’s programs allow students to enhance their careers and develop expertise in such areas as quantitative finance, digital marketing, and supply chain analytics. Serving as the initial point of contact for academic advising for the Master of Information Technology and Analytics.
$63,518 - $94,659Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong and adaptable capability using dynamic data analytics tools, manufacturing ERP and consolidation systems - PowerBi, JDE and OneStream or HFM experience a bonus. Key business partner across all functions, providing financial and data-driven analytics and guidance to assess areas for improvement and to drive profitability Drives 80/20 operational strategy to reduce complexity and increase profitability through commercial and operational partnership Supports the Business in analyzing data and trends to support development and correction of strategies Demonstrates Customer Obsession with analytical support and problems solving with business partners.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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analytics job Company: Pwc in Bloomfield, NJ
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