Business Intelligence Engineer, Scot Aim...

Amazon; Lazio; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

Una multinazionale di e-commerce è alla ricerca di un Business Intelligence Engineer per il team di automazione della gestione dell'inventario. Questa posizione prevede lo sviluppo di soluzioni analitiche per monitorare la supply chain e migliorare le prestazioni aziendali. Si richiedono 3+ anni di esperienza nell'analisi dei dati e abilità con strumenti di visualizzazione come Tableau. Offriamo un ambiente innovativo dove l'autonomia e l'impatto sono fondamentali.

Competenze

• 3+ anni di analisi e interpretazione dei dati.
• Esperienza con la visualizzazione dei dati usando Tableau o strumenti simili.
• Competenze in modellazione dati e costruzione di pipeline ETL.

Mansioni

• Collaborare con product manager per migliorare prodotti interni.
• Sviluppare soluzioni analitiche per monitorare metriche della supply chain.
• Creare sistemi di reporting automatizzati per analisi approfondite.

Conoscenze

Analisi dati

Visualizzazione dati

Modellazione dati

ETL pipelines

Statistical Analysis

SQL

Python

Strumenti

Tableau

Quicksight

AWS (EC2, DynamoDB, S3, Redshift)

Descrizione del lavoro

Overview

Descrizione dell’offerta di lavoro

Business Intelligence Engineer, SCOT AIM

SCOT AIM team is seeking an exceptional Business Intelligence Engineer to join our innovative Inventory automation analytics team. This pioneering role will be instrumental in building and scaling analytics solutions that drive critical business decisions across inventory management, supply chain optimization and channel performance. You will work closely with Scientists, Product Managers, other Business Intelligence Engineers, and Supply Chain Managers to build scalable, high insight – high impact products and own improvements to business outcomes within your area, enabling WW and local solutions for retail.

Key Job Responsibilities

• Work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers, improving a wide range of internal products that impact selection decisions both nationally and regionally.
• Design and develop end-to-end analytics solutions to monitor and optimize supply chain metrics, including and not limited to availability, placement, inventory efficiency and capacity planning & management at various business hierarchies.
• Create interactive dashboards and automated reporting systems to enable deep-dive analysis of inventory performance across multiple dimensions (ASIN / GL / Sub-category / LOB / Brand level).
• Build predictive models for seasonal demand forecasting and inventory planning, supporting critical business events and promotions.
• Create scalable solutions for tracking deal inventory readiness for small events and channel share management.
• Partner with category & business stakeholders to identify opportunities for process automation and innovation.

A Day in the Life

• Pioneering new analytical approaches and establishing best practices.
• Building solutions from the ground up with significant autonomy.
• Driving innovation in supply chain analytics through automation and advanced analytics.
• Making a direct impact on business performance through data-driven decision making.

About the Team

Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, Amazon’s Supply Chain Optimization Technology (SCOT) organization is for you. At SCOT, we solve deep technical problems and build innovative solutions in a fast-paced environment working with smart & passionate team members. Learn more about SCOT : http : / / bit.ly / amazon-scot.

Basic Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience in Statistical Analysis packages such as R, SAS and Matlab
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
• Experience working directly with business stakeholders to translate between data and business needs

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.