Product Analytics Engineer

TL;DR

Product Analytics Engineer: Transforming complex product data into actionable insights to support development and continuous improvement with an accent on time-series data analysis and cloud migration. Focus on automating data pipelines, optimizing analytical workflows, and leveraging AWS cloud solutions to drive engineering excellence.

Location: On-site in Monterrey, Mexico

Company

A global leader in construction and mining equipment, dedicated to building sustainable communities and innovative infrastructure solutions.

What you will do

• Write scripts to reduce large volumes of time-series data into actionable results.
• Support multiple analytics projects simultaneously while ensuring technical accuracy.
• Automate daily data analysis processes to improve operational efficiency.
• Migrate existing on-premise data analysis functions to AWS cloud infrastructure.
• Collaborate with engineering teams to diagnose root causes and develop sustainable solutions.

Requirements

• Bachelor’s degree in Engineering or Computer Science.
• English proficiency: Advanced level required.
• Proven experience with SQL, Python, and data visualization tools like Tableau.
• Experience in analytics or engineering roles.
• Must be based in Monterrey, Mexico (on-site role).
• No visa sponsorship or relocation assistance available.

Nice to have

• Experience with AWS services including Lambda, SNS, SQS, EC2, and Aurora.
• Knowledge of database technologies such as Snowflake, Oracle, or MySQL.
• Familiarity with version control software like Git.
• Interest in mechanical systems, engines, or heavy machinery.

Culture & Benefits

• Global team environment focused on innovation and sustainability.
• Standard Monday to Friday work schedule (7am-4pm).
• Opportunities to work on complex, large-scale industrial data challenges.
• Commitment to equal opportunity and inclusive workplace practices.