Business Intelligence Engineer, Device Science and Data Technology Team D&S
Zapopan, Jalisco, MEX
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...Amazon’s extensive logistics system is comprised of thousands of fixed infrastructure nodes, with millions of possible connections between them. Billions of packages flow through this network on a yearly basis, making the impact of optimal improvements unparalleled. This magnificent challenge is a terrific opportunity to analyze Amazon’s data and generate actionable recommendations using optimization and simulation. Come build with us!
This role will collaborate with diverse set of stakeholder including product managers, program managers, data scientists, software development engineers and other partner teams to analyze large data sets, prove and disprove hypothesis, automate existing solutions and build self-service dashboards and reports.
Key job responsibilities
- E2E design and creation of data pipelines including harmonization of different data sources (Data base, API, user inputs and manual files) using SQL and other scripting language (R,Python,Rust), reporting and automation using Quicksight tableu or similar. Design of automations to send push out information of alerts, business insights etc. Project and stakeholder management
- Write high quality SQL code to retrieve and analyze data from database tables, and learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.
- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
We are open to hiring candidates to work out of one of the following locations:
Zapopan, MEX
Basic Qualifications
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Bachelor's degree in sciences, engineering, finance or equivalent
- +3 years of experience in business intelligence or related role
- Fluent in Spanish and English (b2+)
- 2+ years of experience with AWS ETL or similar.
Preferred Qualifications
- Previous experience working with supply chain or logistics data- Experience applying optimization models
- AWS Certification
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Business Intelligence Data Mining Data pipelines Data visualization Data warehouse Engineering ETL Finance Pipelines Python QuickSight R Rust SQL Tableau
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