Business Intelligence Engineer

Il y a 2 mois


Luxembourg, Luxembourg Amazon Temps plein

DESCRIPTION


Are you looking for a challenging position where you can interact with senior leaders? The EU Process Engineering Team is in need of a Business Intelligence Engineer who is customer-oriented, possesses robust analytical and technical skills, and can enhance performance measurement and innovation within Fulfillment Centre Operations. Working closely with Amazon Fulfillment Center Operations and data teams, you will be in charge of creating analytics dashboards, advanced tools, and influencing product roadmaps utilizing data, AWS services, and insights.


As a Business Intelligence Engineer (BIE I), your main tasks involve:

  • Managing intake, coordinating, and gathering requirements from business partners to handle increased data volume and the demand for more cost-efficient and scalable pipelines and tech solutions.
  • Prioritizing initiatives, Designing and implementing technical solutions with appropriate strategies and design principles.
  • Driving best practices in Operational Excellence.

Ideal candidate: Proficient in SQL, Redshift, metrics, ETL, tool development, cloud environments, and dashboarding. Python proficiency required; JavaScript preferred. Excels in translating customer needs into innovative BI solutions, passionate about leveraging data for informed decisions.


About the team


The EU PE is a group of Process Engineers spread across various locations in Europe and is a proud part of the Ops team. Our objective is to standardize processes across FCs by guiding, promoting, and scaling cutting-edge best practices at the network level. We cultivate a Day 1 culture, encourage ideas with a positive Continuous Improvement and Problem-Solving Mindset. We view every defect as an opportunity, striving to elevate standards continually.


We are currently seeking candidates to work from the following locations:


Luxembourg, LUX


BASIC QUALIFICATIONS


  • Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
  • Experience with scripting languages (e.g., Python, Java, or R)
  • Experience with industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
  • Experience with data visualization using Tableau, Quicksight, or similar tools

PREFERRED QUALIFICATIONS


  • Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
  • Experience with statistical analysis, co-relation analysis

Amazon is committed to diversity and inclusivity. Our recruitment decisions are based purely on your experience and skills. We appreciate your drive to explore, innovate, simplify, and construct. Safeguarding your privacy and data security is Amazon's top priority. For more information on how we handle candidate data, please refer to our Privacy Notice.


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