Sr. Business Intelligence Engineer, Supply Chain

il y a 2 semaines

Luxembourg, Luxembourg Amazon Temps plein

The growth of the business combined with the company's mission to be Earth's most customer-centric entity contributes to the increasing complexity of the customer fulfillment operations each year.

The EU S&OP team is responsible for forecasting inventory movements between countries, managing both incoming shipments from vendors/sellers and outgoing shipments from Fulfillment Centers (FCs).

Additionally, the team is accountable for assessing S&OP performance, facilitating continuous enhancement of planning tools and methodologies, focusing on network optimization for reliability, speed, cost-effectiveness, and sustainability.

Collaboration with the Supply Chain Optimization Technology (SCOT) teams in North America and internal EU stakeholders in Transportation, Retail, and Finance departments is a crucial part of our operations.

Within the EU Supply Chain, the engineering team's main duties involve creating new products in partnership with SCOT and maintaining existing ones to enhance S&OP accuracy, automation, and cost-efficiency.

The role entails the development of new products with automated data pipelines and processes to support all S&OP operations teams.

This position is a hybrid BIE/PM role that entails leading cross-functional project work-streams and providing analytical insights.



Key Responsibilities:
  • Perform in-depth data analysis to derive the necessary analytical insights for product and model development.
  • Collaborate with Tech Stakeholders to establish the product vision and improvement roadmap.
  • Design automated BI solutions for recurring reporting and product diagnostics.
  • Ensure data accessibility and conduct quality checks on existing data products, aligning with the Product Strategy.
  • Demonstrate a passion for working on innovative ideas, showcasing attention to detail, self-motivation, and project follow-through.

About the Team:

The S&OP product development team focuses on three primary goals:

  • Sustain existing products through bug fixes.
  • Enhance existing products year-over-year with new features.
  • Develop new in-house products.

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

Luxembourg, LUX



BASIC QUALIFICATIONS
  • Proficiency in programming for extracting, transforming, and cleaning large data sets (multiTB).
  • Strong background in experimental design theory and practice, coupled with statistical analysis.
  • Hands-on experience with AWS technologies.
  • Proficient in scripting for automation (e.g., Python) and possess advanced SQL skills.
  • Proficiency in information retrieval theory and practice, data science, machine learning, and data mining.
  • Previous experience collaborating with business stakeholders to bridge the gap between data and business requirements.
  • Skilled in SQL and data visualization using tools like Tableau, Quicksight, or equivalent platforms.
  • Background in the data/BI domain.
PREFERRED QUALIFICATIONS
  • Experience in managing, analyzing, and presenting results to senior leadership.

Amazon upholds equal opportunities in employment and strongly believes that a diverse workforce is key to its achievements. Recruitment decisions are made based on candidates' skills and experience. The company values individuals who exhibit a drive to explore, innovate, simplify, and construct. Safeguarding candidate privacy and data security remains a top priority for Amazon. For more details on how candidate personal data is collected, utilized, and transferred, please refer to our Privacy Notice.

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