Data & Analytics Eng Intern — Part-Time, Flexible Hours (Mexico City)

Procter & Gamble Mexico; Ciudad de México; Presencial; MXN 100.000 - 201.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Day 1 responsibilities

Join P&G family

Flexible daily hours

Mentorship & training

Potential full-time after internship

Flexible arrangements

Descripción de la vacante

P&G Mexico offers an IT Data & Analytics Engineering Intern position at the Interlomas General Offices in Mexico City. You will contribute to the design and development of data pipelines, build data models, and craft analytics solutions that power reporting and decision-making across the organization.

You must be an enrolled bachelor's student in CS, DS, Actuary, Engineering, or related field with graduation between Dec 2027 and Dec 2028, and possess strong English, leadership, and

Formación

• Active college student in CS, DS, Engineering or related field.
• Graduation date between December 2027 and December 2028.
• Strong English verbal and writing skills.
• Leadership, teamwork, analytical skills and problem-solving mentality.
• Willingness to learn, take initiative and show flexibility.

Responsabilidades

• Collaborate with cross-functional teams to understand data needs and translate them into technical solutions.
• Design, develop and optimize cloud data pipelines to ensure efficient data flow and accessibility.
• Create semantic models and Power BI dashboards for insights.
• Assist in implementing data governance and security measures.
• Participate in developing innovative data-driven strategies for competitive advantage.

Conocimientos

Strong English

Leadership

Analytical skills

Problem-solving

Willingness to learn

Educación

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Bachelor's degree in Engineering

Related field

Herramientas

Power BI

Descripción del empleo

P&G Mexico offers an IT Data & Analytics Engineering Intern position at the Interlomas General Offices in Mexico City. You will contribute to the design and development of data pipelines, build data models, and craft analytics solutions that power reporting and decision-making across the organization.

You must be an enrolled bachelor's student in CS, DS, Actuary, Engineering, or related field with graduation between Dec 2027 and Dec 2028, and possess strong English, leadership, and