Data & Analytics Engineer Intern — Flexible Hours & Cloud Pipelines

Procter & Gamble

Córdoba

On-site

MXN 100,000 - 201,000

Part time

11 days ago

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Benefits offered by this job

Mentorship programs
Flexible working hours
Promotion potential to full-time

Job summary

Procter & Gamble offers a part-time internship in Mexico City’s Interlomas General Offices. You will contribute to data pipelines and develop local data solutions powering reporting and analytics.

You will gain hands-on experience building data models, semantic layers, and Power BI dashboards while learning data governance and security aspects. The schedule is flexible and designed to support students’ studies.

Qualifications

  • Live in Mexico City and willing to work in our Interlomas General Offices.
  • Graduation date must be between December 2027 and June 2028.
  • Active college student of any business or engineering major.
  • Strong English verbal and writing skills.
  • Display strong leadership, teamwork, analytical skills and problem‑solving mentality.
  • Real passion for building new solutions.
  • Express willingness to learn, take initiative and show flexibility
  • You love working in a multicultural and diverse environment.
  • ITGO

Responsibilities

  • Contribute to the design and development of data pipelines.
  • Develop local data solutions powering reporting and analytics.
  • Build data models and analytics that drive decision making.
  • Create semantic models and Power BI dashboards for insights.
  • Assist in data governance and security measures.

Skills

English skills
Leadership
Teamwork
Analytical thinking
Problem solving

Education

Bachelor's student in CS/Engineering/Data Science

Tools

Power BI

Job description

Procter & Gamble offers a part-time internship in Mexico City’s Interlomas General Offices. You will contribute to data pipelines and develop local data solutions powering reporting and analytics.

You will gain hands-on experience building data models, semantic layers, and Power BI dashboards while learning data governance and security aspects. The schedule is flexible and designed to support students’ studies.

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