Logistics Data & BI Engineer

Daimler Truck North America; Santiago; On-site; MXN 420,000 - 780,000; Full time

Job summary

Daimler Truck AG is seeking a capable full‑stack developer and data analyst to join its Mexico operations. You will design, test, and deploy data‑driven applications using C#, TypeScript, React, SQL, Tableau, and Power BI, collaborating with management to align analytics with business goals.

Responsibilities include maintaining BI content, managing logistics databases, interpreting data to deliver actionable insights, and evaluating new BI tools to drive continuous improvements.

Qualifications

• Proven experience with C# / TypeScript / React, SQL, Tableau, Power BI and BI tooling.
• Full-stack development and data-analytic capabilities are required.
• English proficiency (B1–B2) and Spanish (C1) are expected for collaboration.

Responsibilities

• Develop, maintain, and support analytical content to improve operational performance using C#, TypeScript, React, Tableau, Power BI, SQL and BI tools.
• Manage databases for the logistics department (SQL) and ensure data integrity.
• Interpret data and processes to analyze reports and applications, ensuring timely access to accurate information.
• Access and analyze datasets, presenting findings through reports, dashboards, charts, and maps for business insight.
• Evaluate and recommend new BI tools and standards, collaborating with analysts to implement improvements.

Skills

Analysis and problem solving

Effective communication

Decision making

Project management

Strategic thinking

Conflict management

Education

Computer Science / Engineering

Tools

C#

TypeScript

React

SQL

TABLEAU

Power BI

Job description

Daimler Truck AG is seeking a capable full‑stack developer and data analyst to join its Mexico operations. You will design, test, and deploy data‑driven applications using C#, TypeScript, React, SQL, Tableau, and Power BI, collaborating with management to align analytics with business goals.

Responsibilities include maintaining BI content, managing logistics databases, interpreting data to deliver actionable insights, and evaluating new BI tools to drive continuous improvements.