Business Intelligence Engineer

1 week ago

Amman, Amman, Jordan Amazon Full time
Job Title: Sr Business Intelligence Engineer

We are seeking a highly skilled Sr Business Intelligence Engineer to join our team at Amazon. As a key member of our data analytics team, you will be responsible for creating actionable business insights through analytical and statistical rigor to answer key business questions, inform decision-making, and develop recommendations to improve operations.

Key Responsibilities:
  • Data Pipeline Development: Design and develop robust data pipelines, write complex SQL queries and ETL processes to build new metrics and analyses.
  • Collaboration: Collaborate cross-functionally with Product Managers, Software Engineers, and Data Scientists to build critical business metrics, automated self-service analytical dashboards and reporting.
  • Supply Chain Analysis: Analyze relevant business data, uncover trends and correlations, and translate insights into clear recommendations to improve inventory planning and forecasting.
  • Operational Excellence: Drive operational excellence by applying strategic thinking, making informed trade-off decisions, and aligning both business and engineering priorities.
  • Data Health: Maintain ETL and business metric and health of data pipelines.
Requirements:
  • SQL Experience: 6+ years of SQL experience.
  • Professional Experience: 6+ years of professional or military experience.
  • Data Analysis: Experience programming to extract, transform and clean large (multi-TB) data sets.
  • Scripting: Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • AWS Experience: Experience with AWS technologies.
  • Statistical Analysis: Experience with theory and practice of design of experiments and statistical analysis of results.
  • Data Science: Experience with theory and practice of information retrieval, data science, machine learning and data mining.
Preferred Qualifications:
  • Business Stakeholder Experience: Experience working directly with business stakeholders to translate between data and business needs.
  • Leadership Experience: Experience managing, analyzing and communicating results to senior leadership.
  • Technical Skills: Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software.
  • Data Visualization: Experience with data visualization using Tableau, Quicksight, or similar tools.

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