Intern, Compensation & Benefits Analytics (Hybrid)

Schneider Electric; Ciudad de México; Hybrid; MXN 67,000 - 100,000; Part time

Job summary

Schneider Electric seeks a driven student to support Total Rewards initiatives in a hybrid Mexico City role. You will prepare and validate data for compensation projects, assist benchmarking, and develop concise dashboards using Excel and Power BI.

This is a collaborative, cross-functional opportunity with a focus on confidentiality and accuracy. The position emphasizes English proficiency, structured data analysis, and hands-on learning across HR, Finance, and Talent Acquisition, with

Qualifications

• Pursuing a Bachelor’s degree in Business, Finance, Economics, HR, Engineering, Statistics, Data Analytics, or similar.
• Proficiency in Excel (pivot, lookups, formulas); Power BI is a plus.
• Ability to interpret data and communicate insights; strong organization and accuracy.
• Advanced English - Must.

Responsibilities

• Support compensation and benefits projects through data preparation, validation, and tracking.
• Assist with salary benchmarking and basic market analysis using survey and internal data.
• Build simple reports/dashboards (Excel/Power BI) and summarize insights for stakeholders.
• Help document and improve Total Rewards processes, templates, and trackers; support annual cycles as needed.

Skills

Analytical and detail-oriented

Clear communication and teamwork

High professionalism and confidential

Education

Bachelor’s degree in Business, Finance, Economics, HR, Engineering, Statistics, Data Analytics, or similar

Grad date October 2027 or later

Tools

Excel

Power BI

Job description

Schneider Electric seeks a driven student to support Total Rewards initiatives in a hybrid Mexico City role. You will prepare and validate data for compensation projects, assist benchmarking, and develop concise dashboards using Excel and Power BI.

This is a collaborative, cross-functional opportunity with a focus on confidentiality and accuracy. The position emphasizes English proficiency, structured data analysis, and hands-on learning across HR, Finance, and Talent Acquisition, with