Process Optimization Analyst

hace 1 mes


Xico, México Pepsico A tiempo completo

About Us:

PepsiCo, a leading global food and beverage company, offers an exciting opportunity for a talented Process Optimization Analyst to join our team. With over 200 countries consuming our iconic brands daily, we're committed to innovation and making a positive impact.

We welcome all individuals from diverse backgrounds to join our inclusive culture where everyone feels valued. As a Process Optimization Analyst, you'll be part of a dynamic team that drives process efficiency and simplification initiatives across North America (NA) using automation, analytics, and process mining solutions.

Your Responsibilities:

You will support process efficiency and simplification initiatives for GBS Control NA by developing, delivering, and maintaining analytics in Finance, Accounts Payable (AP), and Accounts Receivable (AR) process areas. Additionally, you will deliver simple to medium complexity automations, act as a technical analyst for Process Transformation teams, and help identify opportunities to integrate digital technologies into business processes.

Key Deliverables:

  • Develop and maintain analytics in Finance, AP, and AR process areas
  • Deliver automations and analytics according to published governance frameworks and standards
  • Support implementation, sustain, and scaling of analytics and process mining initiatives
  • Collaborate with stakeholders to identify process efficiency opportunities and propose technology solutions

Requirements:

  • Bachelor's or Master's degree in a relevant field, such as Data Science, Computer Science, or Engineering
  • Strong analytical and problem-solving skills, with experience in data analysis and process optimization
  • Familiarity with automation tools, such as Celonis Design, Tableau, Power BI, and Tellius
  • Excellent communication and collaboration skills, with the ability to work independently and as part of a team

Estimated Salary: $120,000 - $150,000 per year, depending on location and experience.


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