SAP Procurement Business Analyst - Data & Analytics

Full-timeRemote
mxvia Workable ATSPosted Sep 30, 2026
Match with my CV

Technical skills

Data analysis

About this role

We are looking for an experienced SAP Procurement Business Analyst – Data & Analytics to join our team. In this role, you will act as the bridge between Procurement business stakeholders and technical teams, translating business needs into scalable SAP and data-driven solutions. You will be responsible for analyzing procurement processes, identifying opportunities for optimization, and delivering insights through data analytics and reporting.

The ideal candidate is a proactive professional with strong analytical skills, experience in SAP Procurement modules, and the ability to collaborate with cross-functional teams to drive operational excellence and informed decision-making.

Benefits

  • Monetary compensation
  • Year-end Bonus

- Imss, Afore, Infonavit

  • Major Medical Expenses Insurance
  • Life Insurance
  • Funeral Expenses Coverage
  • TDU Membership
  • MediAccess
  • Health Check-Up Subsidy
  • Preferential rates for car insurance
  • Vacations
  • Official Mexican Holidays
  • Life Happens Days
  • Bereavement Leave
  • Civil Marriage Leave
  • English Classes
  • Certifications
  • Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS)
  • Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf)
  • Taquitos Rewards
  • Birthday Bonus
  • Work-from-home Bonus
  • Laptop Policy

Equal employment

Enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Before you apply

  • 1Which parts of your CV prove experience with Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?