Business Intelligence Specialist for Data-Driven Insights

il y a 2 semaines


Luxembourg City Amazon Europe Temps plein

Data-Driven Insights

The Amazon Europe Business Intelligence team seeks a skilled Business Intelligence Engineer to join their dynamic team. This role requires an individual with excellent analytical and technical skills, deep knowledge of business intelligence solutions and data engineering practices, as well as proficiency in hypothesis testing, A/B testing, and frequentist statistics.

Key Responsibilities

  • Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations.
  • Ability to clearly articulate assumptions, methodologies, results, and implications.
  • Able to present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding.
  • Design and implement metrics to measure the success and effectiveness of classification models by understanding the nuances and potential pitfalls.
  • Use visualization tools and develop data pipelines to publish the metrics to internal and external stakeholders.
  • Implementation of various sampling techniques with the ability to handle issues arising from sampling, like sampling biases.

Basic Qualifications

  • Bachelor's or Master's degree in Statistics, Data Science, Computer Science, or related field.
  • Experience in Business Intelligence, Data Analysis, or a similar role.
  • Proficient in scripting languages (e.g., R, Python, SQL).
  • Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, PowerBI).
  • Strong understanding of A/B testing, sampling methodologies, and other statistical analysis.
  • Proficient in descriptive statistics and familiar with inferential statistical methodologies.
  • Exceptional communication skills, with the ability to convey complex ideas in a clear and concise manner.
  • Strong critical thinking and problem-solving skills.

Preferred Qualifications

  • Knowledge of how to improve code quality and optimize BI processes (e.g., speed, cost, reliability).
  • Knowledge of modeling techniques.


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