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Business Intel Engineer, MX CARPOOL
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Business Intel Engineer, MX CARPOOL

Servicios Comerciales Amazon Mexico S. de R.L. de C.V. -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
Hace 3 días

Cualificaciones

MATLAB
Modelado de datos
Microsoft Excel
Oracle
Data mining
Visual Basic
SAS
R
NoSQL
Tableau
Maestría
Experiencia en bases de datos
SQL
Licenciatura
VBA
S3
Tablas dinámicas
Visualización de datos
Redshift
DynamoDB
Negocios
Python

Descripción completa del empleo

DESCRIPTION

Are you passionate about turning complex data into products that drive business decisions? The MX Carpool team is looking for a Business Intelligence Engineer who will own the design, development, and delivery of finance data products that empower our internal customers across Amazon Mexico.

In this role, you will combine deep technical expertise with strong business acumen to build scalable data solutions on AWS. You will partner closely with finance and IES stakeholders to understand their needs and deliver self-service analytics capabilities that accelerate decision-making. If you thrive at the intersection of customer obsession, data engineering, analytics, and product thinking — and you want to stay on top of AI and technology — this is the team for you.

Key job responsibilities

Design, build, and maintain finance data products and pipelines that serve internal customers across multiple business functions
Develop and optimize complex SQL queries, ETL processes, and data models to support reporting and analytics at scale
Leverage AWS data services (Redshift, S3, Glue, Athena, QuickSight) to architect reliable, performant data solutions
Create dashboards, visualizations, and self-service BI tools that enable stakeholders to make data-driven decisions independently
Partner with finance, and IES teams to translate requirements into scalable data products
Define and track key metrics, identify trends, and proactively surface insights that influence business strategy
Manage competing priorities across multiple stakeholders while maintaining high delivery standards
Document data products, pipelines, and methodologies to ensure knowledge sharing and operational excellence
Continuously improve existing data infrastructure, automating manual processes and reducing time-to-insight

BASIC QUALIFICATIONS

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt 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
Experience using SQL (Structured Query Language) to pull data from a database or data warehouse
Experience using Python scripting to process data for modeling

PREFERRED QUALIFICATIONS

Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

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.

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