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Conduct quantitative analysis including but not limited to ROI, trending, identification and assessment of opportunities and risk, forecasting, regressions, correlation, cannibalization and probability modeling.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Strong quantitative and analytical skills, including sound knowledge of statistical concepts and predictive modeling/machine learning. Relevant expertise in using analytical tools such as R/Python, Alteryx, Dataiku etc.
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Analytic Capabilities: Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modeling.
$40,000 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience in one or more of the following areas: transfer pricing studies, financial statement analysis, quantitative and competitive analysis, statistical sampling and econometrics, advanced financial modeling skills using Excel and/or Alteryx, plan evaluation and/or operational performance analysis.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data visualizationtools such as Tableau, Datorama, Alteryx. As an Associate Directoron the Marketing Science team, you will develop actionable insights through quantitative analysis, innovative thinking, and your industry knowledge to be a key contributor to tactical and strategic efforts.
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Post-graduate qualification in Finance, Accounting, Statistics or other quantitative field (e.g. MBA, CPA/CA, CIMA, ACCA) Business intelligence tools, and data science experience is as well as SQL and Alteryx skills are a plus.
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Work with business owners and other analysts (with a broad range of analytical expertise) to deliver data products and provide business insights through quantitative analysis (e.g., Predictive Modeling, Machine Learning, Geospatial Modeling, Operations Research, etc.
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Experience performing analysis, modeling, and predictive modeling using Excel, SQL, R, Python, SAS, or similar tools, and with other analytical and visualization tools/languages (e.g., Alteryx, Tableau, QGIS.
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1+ years of experience as a researcher, analyst, data scientist or solution developer with one or more of the following analytics tools: R, SQL, Tableau, Alteryx, MINITAB, CPLEX, Python, Any Logic, Qlikview, QlikSense, Google Cloud Platform, Hadoop, or SAP OR equivalent college course experience.
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The Senior (Lead) Quantitative Analyst I (II) position provides energy market fundamental analysis, and quantitative financial modeling support to Risk Management. Perform quantitative energy risk modeling, analyze and discuss various assumptions, inputs, fundamental, statistical and analytical data.
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Preferred • 5+ years of experience as a Credit Risk Analyst, Decision System Analyst, Business Rules Developer in Portfolio Management, Quantitative Modeling, Risk Management /Decision Analytics team in financial services institutions.
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Minimum qualificationsM Pharma (or B. Pharm work experience), Masters in Business AdministrationMaster’s or bachelor’s relevant work experience) in engineeringMaster’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field;An interest in, and some exposure to, one or more of the following tools and techniques, SQL, Tableau, Alteryx, Data processing and basic statistical methods required.
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Deploy commonly used technologies Excel, Alteryx, various statistical sampling packages, as well as KPMGs proprietary transfer pricing platform. Deploy commonly used technologies Excel, Alteryx, various statistical sampling packages, as well as KPMGs proprietary transfer pricing platform.
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Collaborate with Data Engineering & Management (“DEM”), Quantitative Modeling Team (“QMT”) and Commercial Banking Credit Underwriting Team (“CBCU”) to ensure smooth operation of scorecard workflows.
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Have expertise in tools/packages such as Excel, Access, Tableau, Power BI, Alteryx, R, SPSS, SQL, Python etc. RCPG Domain knowledge, Hands on IT consulting, Llamasoft Modeling, Supply chain network & Inventory OptimizationQUALIFICATIONSThe ideal candidate will:Has 10+ years of strong supply chain experience playing a pivotal role on supply chain projects (focus on Supply Chain Design and Inventory Optimization is preferred)Have 3+ years of experience creating network & meio models using LLamasoft Supply Chain Guru. Experience working with large ERP systems like SAP, Oracle etc.
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