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Sunnyvale

    Data science Analyst - Sunnyvale, United States - eTeam

    eTeam
    eTeam Sunnyvale, United States

    1 week ago

    eTeam background
    Description
    • Identify business problems and solve them by using various numerical techniques, algorithms, and models in Operations Research, Data Science, and Data Mining.
    • Tackle problems on a broad spectrum of areas: Supply Chain Optimization, Inventory & Capacity Planning, Process Design & Optimization, Financial Modeling, Demand Forecasting.
    • Design and develop creative and innovative Business Intelligence/Analytic solutions from the data coming from various custom systems and databases.
    • Partner with internal stakeholders to understand business requirements, work with cross-functional data and business teams across Enterprise Operations to build efficient and scalable data solutions.
    • nalyze current business processes using operational dashboards and identify levers for improving overall performance. Recommend and drive process changes based on robust analysis of operational data and user behavior.
    • Collaborate with cross-functional data and business teams across Enterprise Operations to access and manipulate data, explain data gathering requirements, display results, and build efficient and scalable analytics solutions
    • Define, compute, track, and continuously validate business metrics with descriptive and predictive analytics
    • See beyond the data to identify solutions that will raise the bar for all things operations related. Need to be self starter
    Requirements :
    Bachelors or Masters degree in Operations Research, Supply Chain Management, Computer Science, Systems Engineering, Mathematics, Statistics, Quantitative Finance or related field and 5 years of work experience in any analytics-related occupation.

    Experience in:
    • Building analytics solutions and developing algorithms for machine learning, statistics, mathematical programming, and simulation in industry and/or academi
    • Business intelligence and data warehousing
    • Data visualization tools, specifically Tableau and statistical analysis tools such as R or Python
    • SQL development and statistical data analysis
    • Building dashboards and utilizing data to build reporting solutions
    Optional
    • Handling large volumes of data, and performance tuning
    • Developing with R/Python, SQL
    • Familiarity with optimization software such as Gurobi/Xpress
    • Simulation Modeling using Anylogic(Highly preferable), Arena, simpy or simmeR
    • Solving problems by providing practical business insights from large, complex data sets
    • Presenting technical content to general audiences


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