Desarrolladores y analistas de software y multimedios y analistas no clasificados bajo otros epígrafes
Amazon EU Sàrl.
Luxemburgo
il y a 3j
source : Europeos.es

DESCRIPTION

The Amazon Devices EU Team is looking for a passionate and solution oriented Business Intelligence Engineer to run analytical solutions that deepen our collective understanding of customers, influence innovation, and deliver actionable insights.

The ideal candidate will :

  • Build scalable solutions / self-serve platforms that will provide data / KPIs to inform business decision making
  • Investigate data sources across Amazon and expand existing device data infrastructure
  • Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape the device customer engagement, sales and marketing roadmap.
  • Develop a thorough understanding of customer behavior, competitive product trends, and business drivers to inform decision making
  • Analyze key insight trends and build models that predict customer behavior, using statistical rigor to simplify and provide thought leadership to device product and marketing groups
  • Collaborate with finance and product management as a leader of ongoing analytical support
  • BASIC QUALIFICATIONS

    Degree in a technical field (Computer Science, Information Management, Mathematics, Business Informatics, Statistics)

    4+ years of professional experience in data modeling / advanced business analytics

    Advanced knowledge of SQL and experience with efficient processing of large data sets

    Experience with Python for data analytics and modelling

    Experience in advanced business / customer analytics

    Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders.

    Proven ability to meet tight deadlines, multi-task, and prioritize workload

    Experience conveying key insights from complex analysis in summarized business terms

    Experience in ETL and databases in a business environment with large-scale, complex datasets

    Familiarity with columnar databases like Redshift or Vertica; Understand database optimization

    Experience in designing and building data infrastructure / automated reporting tools

    PREFERRED QUALIFICATIONS

    Advanced Degree (Master’s, PhD) in a technical field (Computer Science, Information Management, Mathematics, Business Informatics, Statistics)

    Expert understanding of best practices to handle extremely large volume of data

    Experience in machine learning / predictive modeling / statistics / econometrics

    Demonstrated experience delivering actionable insight for a consumer business

    Experience with Big Data solutions as well as other AWS solutions such as Athena and QuickSight

    Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy

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