HR Data & Analytics Intern

BAT

Monterrey

On-site

MXN 56,000 - 89,000

Part time

6 days ago
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Job summary

BAT Mexico is seeking an HR Data Intern in Monterrey. The role supports cost reporting, expatriate cost payments, cost reclassification, and headcount data management across LANCAR entities. It requires enrollment in HR/PSY/Administration with a December 2027 graduation or later and a 30-hour weekly commitment.

Fluent English is required; advanced Excel skills are essential, and Power BI is desirable. You will collaborate with Finance and HR teams to ensure accurate data and smooth processes in

Qualifications

  • Enrolled in a degree related to Human Resources, Psychology, Administration, or similar.
  • Graduation date December 2027 or later, availability to work 30 hours per week.
  • Fluent in English (written and spoken).
  • Knowledge of Microsoft Office tools, especially advanced Excel. Desirable Power BI knowledge.

Responsibilities

  • Download cost reports from global providers using SAP for analysis.
  • Manage global provider payments for expatriate costs across LANCAR entities.
  • Collaborate with the Finance team for cost reclassification of expatriate charges.
  • Collect and organize Headcount and Employment Cost data for all LANCAR entities.
  • Coordinate with HR teams across LATAM to ensure access to Headcount and Employment Cost systems.

Skills

English
Attention to detail
Analytical mindset
Proactive communicator
Numbers oriented

Education

Degree in HR/PSY/Administration

Tools

Excel advanced
Power BI
MS Office

Job description

BAT Mexico is seeking an HR Data Intern in Monterrey. The role supports cost reporting, expatriate cost payments, cost reclassification, and headcount data management across LANCAR entities. It requires enrollment in HR/PSY/Administration with a December 2027 graduation or later and a 30-hour weekly commitment.

Fluent English is required; advanced Excel skills are essential, and Power BI is desirable. You will collaborate with Finance and HR teams to ensure accurate data and smooth processes in

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