Business Intelligence Engineer, Supply Chain Data Science

Amazon; Ciudad de México; Presencial; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

A global technology company in Mexico City is seeking a data-driven individual to analyze logistics data and develop data products. You will manage data pipelines, build reports using AWS and visualization tools, and collaborate with various stakeholders. The ideal candidate has a degree in a relevant field, extensive BI experience, and is fluent in Spanish.

Formación

• 3+ years of business intelligence and analytics experience.
• 2+ years of Amazon experience, or experience with AWS services or other cloud offerings.
• Fluent in Spanish.
• Experience in analyzing and interpreting data.

Responsabilidades

• Create data pipelines combining data from various sources.
• Build automated reports and deliver business insights.
• Manage projects and communicate with stakeholders.
• Deploy services using AWS tools.
• Create data visualizations and SQL queries.

Conocimientos

Data analysis

Data visualization

SQL

Python

R

Communication

Educación

Bachelor's degree in sciences, engineering, finance or equivalent

Herramientas

Amazon QuickSight

Tableau

AWS

Redshift

Descripción del empleo

Description

Are you a data enthusiast? Do the world's most complex logistic systems inspire your curiosity? Is it your passion to navigate through hundreds of systems, processes, and data sources to solve puzzles and identify the next big opportunity? Are you a creative big-picture thinker who is passionate about using data and optimization tools to drive decision-making and solve complex, large-scale challenges? Do your skills uniquely qualify you to bridge communication between teams with competing priorities? If so, this position is for you!

We are looking for a motivated individual with strong analytical and communication skills to join our effort in evolving today's network into the network we need tomorrow.

Amazon's sophisticated logistics infrastructure encompasses thousands of operational nodes with millions of potential interconnections. With billions of packages processed annually through this network, the potential impact of optimized solutions is substantial. This strategic role presents an unprecedented opportunity to analyze Amazon's comprehensive data sets and develop actionable recommendations through advanced optimization and simulation methodologies.

This role will collaborate with a diverse set of stakeholders, including product managers, program managers, data scientists, software development engineers, and other partner teams to analyze large datasets, prove and disprove hypotheses, automate existing solutions, and build self-service dashboards and reports.

Key job responsibilities

• Create data pipelines to combine data from databases, Application Programming Interfaces (APIs), user inputs, and files using SQL, Python, R, and Rust.
• Build reports using Amazon QuickSight or Tableau and automate alerts and business insights delivery.
• Manage projects and communicate with stakeholders.
• Deploy services using Amazon Web Services (AWS) tools: Elastic Compute Cloud (EC2), Simple Storage Service (S3), DynamoDB, and Redshift.
• Write SQL code to analyze database data and select appropriate Amazon data resources for each task.
• Create data visualizations and queries for both one-time requests and recurring reports.

A day in the life

• You will build and maintain data products using SQL, Python and Amazon Web Services (AWS) with Business Intelligence Engineers (BIEs) and Scientists.
• You will create dashboards, tools, automations and alert systems by analyzing data from multiple sources.
• You will write code following Amazon security standards to integrate solutions with internal systems.
• You will collaborate with tech teams to improve code quality and meet certification requirements.

About the team

Mission

Our mission is to translate business needs into data products and create business insights for decision making. We develop, deploy and enhance self-service tools tailored for MX Supply Chain and we leverage computing, statistical and mathematical models to create knowledge and provide guidance to our customers.

Vision

We strive to become the best guide and enablers backed on science, data and technology for the decision making in MX Supply Chain organization.

Basic Qualifications

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• Experience in Statistical Analysis packages such as R, SAS and Matlab
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Bachelor's degree in sciences, engineering, finance or equivalent
• Experience in the data/BI space
• 3+ years of business intelligence and analytics experience
• 2+ years of Amazon experience, or experience with AWS services or other cloud offerings
• Speak, write, and read fluently in Spanish
• Experience interpreting data and making business recommendations

Preferred Qualifications

• AWS certification
• 1+ years of logistics, transportation, supply chain, import/export operations, or data entry/data administration experience
• Experience applying optimization models in for business decision support or in optimized supervisory control

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.