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Hands on experience in SAP IBP time series and order-based planning data models. Experience with CPI/DS and Oracle Fusion Cloud ERP a plusEducationBachelor’s degree in engineering and/or MBA in Supply Chain / Operations Research Job Segment: Supply Chain, Supply Planner, SAP, Business Analyst, ERP, Operations, Technology, Finance.
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The San Francisco Police Department (SFPD) seeks a well-qualified data analyst to push forward the boundaries of knowledge within the criminal justice space. Under general direction of the SMB Program Manager and Business Analysis Team Lead, the 1823 Senior Administrative Analyst functions as a Senior Data & Policy Analyst employing generally accepted academic analysis techniques on dozens of available datasets.
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Series R (GOES-R) Program Office, and the Joint Polar Satellite System (JPSS) Program Office, the Office of Systems Architecture and Advanced Planning (OSAAP), the Center for Satellite Applications and Research (STAR), the Office of Satellite and Product Operations (OSPO), the Office of Projects, Planning and Analysis (OPPA), and the Office of Satellite Ground Services (OSGS), and the Office of the Assistant Administrator (AA.
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The employer will alternatively accept a PhD in Financial Engineering, Quantitative Finance, Statistics, Data Science, Applied Math, Computer Science, Econometrics, or related field of study plus 3 years of experience in the job offered or as Predictive Science, Applied AI ML Lead, Data Scientist Lead/VP, Sr Quantitative Analyst, Sr Bond Analytics Analyst, Financial Research Analyst, Financial Product Development Associate, or related occupation.
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3-5 years of equity investment analyst or quantitative analyst experience required. Advanced understanding of statistical techniques and time series/cross-sectional analysis using Python, R or MatLab preferred.
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Job Title: Data Analyst Primary Location: Washington, DC Clearance: Public Trust (US Citizen) Job Responsibilities: Data Analysis and Workforce Reporting Respond to current and future HR management needs throughout the organization.
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Presently, we are actively looking for entry-level Data Analyst with a driven mindset. Knowledge of Statistics, Python, data visualization tools. Preferred skills: NLP, Text mining, Tableau, Time series analysis.
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You’re considered fully vaccinated two weeks after you receive the second dose of a two-dose vaccine series (e.g., Pfizer or Moderna) or two weeks after a single-dose vaccine (e.g., Johnson & Johnson/Janssen.
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Minimum education and experience required: Master’s degree in Financial Engineering, Quantitative Finance, Statistics, Data Science, Applied Math, Computer Science, Econometrics or related field of study plus 5 years of experience in the job offered or as Predictive Science, Applied AI ML Lead, Data Scientist Lead/VP, Sr Quantitative Analyst, Sr Bond Analytics Analyst, Financial Research Analyst, Financial Product Development Associate, or related occupation.
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Join a dynamic team as a Games Data Analyst/Scientist, where you will apply advanced analytics to drive player engagement, optimize game performance, and enhance the overall gaming experience.
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Advanced skills in a best-in-class data visualization tool to include data preparation, rationalization of visualization type, standard charting (time series, Pareto, bar, area, multi-axis, geospatial, scatter plots, etc.
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DATA STRUCTURES AND ALGORITHMS 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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As an Analyst within the Business Operations team, you will be a central member of the MLCOE and be working closely with its senior leaders, data scientists, engineers, product managers and more.
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Correct any master data warnings and errors in supply planning and ATP confirmation runs. Knowledge of IBP Master data types such as Product, Location, Compound Master data – Location Product, Location Source, Production source Header and Item, Production Data Structures (PDS), Transportation lane.
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In addition to your engagement-based learning, as a new Analyst, you will attend a series of onboarding programs to develop foundational knowledge, build essential core consulting skills, learn profile-aligned skills, and cultivate an in-depth understanding of Deloitte Consulting's methodologies.
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