Business Intelligence Engineer, SD & 3P

Amazon; Clichy; Sur place; EUR 40 000 - 65 000; Plein temps

Résumé du poste

Amazon recherche un Business Intelligence Engineer pour rejoindre son équipe à Clichy. Vous serez en charge de développer des solutions analytiques innovantes en utilisant les ressources AWS. Ce rôle dynamique exige un partenariat avec les parties prenantes pour identifier des opportunités stratégiques, tout en incarnant une approche axée sur les données et l'analytique.

Qualifications

• Expérience en analyse de données avec Redshift, Oracle ou NoSQL.
• Expérience en visualisation de données avec des outils comme Tableau ou QuickSight.
• Connaissance des méthodes statistiques, analyse de corrélation.

Responsabilités

• Développer des solutions analytiques pour des problèmes commerciaux.
• Rédiger un code de haute qualité pour récupérer et analyser les données.
• Concevoir des analyses pragmatiques et métriques automatisées.

Connaissances

Analyse des données

Scripting (Python, Java, R)

Visualisation de données (Tableau, QuickSight)

SQL

Formation

Diplôme de Master ou technique avancée

Description du poste

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Description

Amazon's Same Day and Scaling businesses is searching for a Business Intelligence Engineer to build automated, and optimized solutions to delight our customers. Same Day - partners with all transportation organizations in Amazon to optimize end-to-end the processes and mechanisms that allow us to serve customers on the same day they order or even faster. The ideal candidate should leverage AWS resources to build innovative data driven models in collaboration with stakeholders across the Amazon's transportation network.

Description

Amazon's Same Day and Scaling businesses is searching for a Business Intelligence Engineer to build automated, and optimized solutions to delight our customers. Same Day - partners with all transportation organizations in Amazon to optimize end-to-end the processes and mechanisms that allow us to serve customers on the same day they order or even faster. The ideal candidate should leverage AWS resources to build innovative data driven models in collaboration with stakeholders across the Amazon's transportation network.

The ideal candidate relishes partnering with stakeholders and customers to identify strategic opportunities, enjoys the challenge of complex technical contexts, and, above all else, is passionate about data and analytics. The candidate should be comfortable writing business documents, able to work closely with stakeholders across countries and translate data-driven findings into actionable insights. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and ever-changing environment.

Key job responsibilities

• Develop analytical solutions to business problems that utilize the highest standards of analytical rigor and data integrity
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Write high quality code to retrieve and analyze data
• Analyze and solve business problems at their root, stepping back to understand the broader context
• Design pragmatic analyses and automated metrics that add value to your business area
• Understand data resources
• Seek to understand the business objectives relevant to your area, and align your work to those objectives and seek to deliver business value
• Proactively and continually, improve your level of knowledge about Amazon’s business and relevant data resources
  
  

A day in the life

In your role a day could start by working on a new data pipeline on AWS to automate a new process. During the day someone may ask you to perform an urgent deep dive to solve a critical gap in our mechanisms that are affecting our customers. In the time-gaps, there could be space to advance on the document you wanted to present next week.

About The Team

Our team works on scaling and expanding Same Day deliveries across EU collaborating with external logistics providers. We automate tools that optimize and facilitate the management of our transportation network, while also supporting in the scaling of the business. We partner with stakeholders from transportation to retail, leveraging statistical and ML model to upgrade our internal technology.

Basic Qualifications

Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

Experience with data visualization using Tableau, Quicksight, or similar tools

Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)

Experience with scripting language (e.g., Python, Java, or R)

Experience with SQL

Experience in the data/BI space

Preferred Qualifications

Master's degree, or Advanced technical degree

Knowledge of data modeling and data pipeline design

Experience with statistical analysis, co-relation analysis

Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - Amazon Business EU SARL, succursale française - P93

Job ID: A2999395

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Strategy/Planning, Analyst, and Information Technology

• Industries

  Software Development

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