Data Analytics Engineer: Drive Data-Driven Insights

ZEISS Group; Nuevo León; Presencial; MXN 545,000 - 910,000; Jornada completa

Descripción de la vacante

A leading technology company in Mexico is looking for a data specialist to maintain databases and ensure high performance and quality. The candidate will design reports and visualizations, develop solutions for data traceability, and collaborate with global teams on data-driven improvements. A Bachelor's degree in Engineering or Computer Science, advanced SQL and Python skills, and excellent communication in English are essential. This role offers an opportunity to work in an agile environment with cross-functional teams.

Formación

• Completed university degree in a relevant field.
• Proficient in SQL for database management and performance.
• Experienced in Python for data processing and analysis.
• Knowledgeable in MS Power BI for report creation.
• Fluent in English, both written and spoken.

Responsabilidades

• Maintain databases ensuring high performance and data quality.
• Design reports and visualizations for data analysis.
• Develop solutions for data traceability during prototyping.
• Collaborate with operations teams for data-driven improvements.
• Consult the business on data-related issues.

Conocimientos

SQL proficiency

Python expertise

MS Power BI knowledge

Strong communication skills

Analytical abilities

Collaboration skills

Educación

Bachelor's degree in Engineering, Computer Science, or comparable discipline

Descripción del empleo

A leading technology company in Mexico is looking for a data specialist to maintain databases and ensure high performance and quality. The candidate will design reports and visualizations, develop solutions for data traceability, and collaborate with global teams on data-driven improvements. A Bachelor's degree in Engineering or Computer Science, advanced SQL and Python skills, and excellent communication in English are essential. This role offers an opportunity to work in an agile environment with cross-functional teams.