Program Manager Value Added Services - Dubai, United Arab Emirates - Amazon

    Amazon background
    Description
    • Bachelor's Degree in aquantitative discipline (e.g., Statistics, Math, Computer Science,Data Science, Analytics, or similar)
    • 5+ yearsworking experience writing complex SQL queries to perform dataanalysis
    • 5+ years of experience in businessintelligence, data analyst, or related quantitativefunctions
    • 5+ Experience building measures andmetrics, and developing reporting solutions
    • 2+Experience in scripting for automation (e.g. Python and Excel VBA)and advanced SQL skills.
    • Experience writing andoptimizing SQL queries to work with complex/largedatasets
    • Proven ability to structure complexanalysis and perform the analysis to driveinsights
    • Proficient in visualizing data throughtools like QuickSight, Tableau or similartools
    • Proven analytical/problem solving skillsand attention to detail, including the ability to recognizenon-obvious patterns/predictors, with the ability to proposeinsightful hypotheses
    • Experience in taking aproject from scoping requirements throughlaunch
    • Experience solving business problemsusing statistical, machine learning, or other modelingtechniques.

    PreferredQualifications

    • 3+ years of driving end to enddelivery, and communicating results to senior leadershipexperience
    • Experience in stakeholdermanagement, dealing with multiple stakeholders at varied levels ofthe organization
    • Experience building processes,project management, andschedules
    • Master's or higher degree inan analytical area such as Computer Science, Mathematics,Statistics, Engineering
    • Previous experience anddemonstrated track record in project and/or program management, ormanagement consulting roles.
    • E-Commerce, Retailexperience preferred.
    • Experience workingclosely with product and tech teams developing large scale dataproducts.
    • Demonstrated analytical skill inprediction, data validation, and optimizationproblems.
    • Experience in theory and practice ofDesign of Experiments and statistical analysis ofresults.