• Senior Business Insights Manager

    Standort DE-Munich
    Datum 2 months ago(12.6.2018 17:23)
    Amazon EU SARL (Germany Branch)
  • Job Description

    Are you analytically sharp, keen to make a difference? Would you love to take on the challenge to drive customer demand for some of Amazon’s most diverse and challenging product categories?
    Amazon Germany is looking for a Sr. Business Insights Manager (m/f) for our Consumables division with relentless focus on improving customer experience

    • Provides transparency and analyses of the entire customer journey, across devices, aligning with DE and EU teams for internal and external benchmarking purposes
    • Conceive, execute and report against programs to drive New to Store customers (including Prime members) and incentivize repeat purchase
    • Set up an automated and regular reporting for key aspects of the above that can be used by the CCE team and categories to identify actionable insights (e.g. customer dashboard, deals strategy).
    • Deep dive into relevant insights to derive the overall strategy, targets and specific actions to increase the engagement of Consumables customers (relevancy, frequency)

    Notwendige Qualifikationen

    • This position requires a Bachelor's Degree in Computer Science or a related technical field, and 4+ years of relevant employment experience.
    • 4+ years work experience with ETL, Data Modeling, and Business Intelligence architecture.
    • Expert in writing SQL scripts.
    • Experience operating, and working with very large databases and datasets.
    • Expert knowledge in an enterprise class RDBMS.
    • Solid communication skills and team player.
    • Capable of investigating, familiarizing and mastering new data sets quickly
    • Strong troubleshooting and problem solving skills.
    • Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner

    Wünschenswerte Qualifikationen

    Master’s Degree in Business, Engineering, Statistics, Computer Science, or Mathematics

    Experience with any of:
    MPP databases such as Redshift.
    enterprise class BI and Analytics tools such as Tableau, Pentaho or R.
    scripting languages such as Python, and Unix shell scripts.
    Java/Pig and Map Reduce frameworks such as Hadoop/Hive

    Experience with statistical modelling techniques
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