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Senior Manager-level candidates must have project management experience in cross-functional engagements including accounting/finance, FP&A, modeling, and/or tech implementation. ETL Automation: Alteryx.
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Experience with predictive modeling in SAS, Python, R or other. Experience working in SQL, Alteryx or other data management and Business Intelligence tools. Experience with predictive modeling in SAS, Python, R or other.
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Experience in technical tools such as SQL, Teradata, Alteryx, and Python. The Manager – Trade Finance Analytics is responsible for the financial analysis, strategic modeling and analytical support for CVS Caremark.
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Bachelor's Degree preferably in Computer Science, Information Technology, Computer Engineering, Finance, Economics, Math or related IT discipline; or equivalent experience. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
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To turn data into insights;Using ETL (Extract, Transform and Load), and having experience with Alteryx, Power Query and / or other agile technologies preferred; and,Possessing knowledge of and having exposure to basic programming: Python, SQL, or other languages.
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Our Digital Foundry & Operations works with the Customer & Marketing group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements. Strong understanding of the restaurant industry (QSR), competitors, and market dynamics.
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Prefer 7 years of experience in data analytics cycle (data gathering, transformation, mining, modeling, analytics, and reporting) using data analytics tools like SAS, Alteryx, Tableau, PowerBI, SQL, R, Python and/or ACL.Strong knowledge and experience with traditional and cloud database technology (e.g. SQL, Snowflake, and/or Azure) and an advanced understanding of data warehousing, data flow and handling.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Business Intelligence/Analytics tools: Alteryx, Python Microsoft tools (SQL Server Management Studio, SSRS, SSAS, SSIS, Power Pivot, Power Query, Power BI) Data Management and Quality: data mapping, data profiling, data catalog, relational data modeling, master data management, data governance, metadata management (ex.
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You are responsible for directly sourcing data using languages and tools such as SQL, Python, Alteryx, Excel, and Salesforce, and analyzing that data in ways that support practical decision-making and strategy setting.
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Business diligence, financial modeling, and valuation; Managing projects in a dynamic, collaborative environment and working under time sensitive client deadlines; and, Analyzing or managing transactional, financial and/or accounting data, and statistical methods in support of data analysis.
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Python or Alteryx. The Senior (Lead) Quantitative Analyst I (II) position provides energy market fundamental analysis, and quantitative financial modeling support to Risk Management.
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8+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau. 10+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau.
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Have expertise in tools/packages such as Excel, Access, Tableau, Power BI, Alteryx, R, SPSS, SQL, Python etc. RCPG knowledge, Hands on IT consulting, Llamasoft Modeling, Supply chain network & Inventory Optimization.
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Understand the methodologies used for price optimization and translate model outputs into insights that clients can understand and apply. MBA or Masters in Finance, Economics, Math. Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment.
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