Senior Data Analyst - Financial Controls

PepsiCo

PepsiCo

Mexico · Mexico City, Mexico · Dolj County, Romania

Posted on Jun 9, 2026
Overview

CAREERS TO SMILE ABOUT

At PepsiCo, you’ll discover a place where our mission is to create smiles around the world. With a portfolio of more than 500 beloved brands including, Gatorade, Lay’s and Quaker, our work touches millions of people every day.

At the heart of the company is a team of thinkers, creators, and problem-solvers who collaborate to innovate and turn ideas into action. Driven by innovation and a focus on creating joyful moments through food and drinks, our decisions are guided by consumer centricity, creating opportunities for our associates to do meaningful work and make a lasting impact in the communities we serve.

Whatever your role, you’ll be part of a global community that values your ideas and empowers you to make an impact, on your career and on the world around you.

PepsiCo México: Our product portfolio, which includes 22 of the world's most iconic brands, such as Sabritas, Gamesa, Quaker, Pepsi, Gatorade and Sonrics, has been a part of Mexican homes for more than 116 years.

A career at PepsiCo means working in a culture where all people are welcome. Here, you can dare to be you. No matter who you are, where you're from, or who you love, you can always influence the people around you and make a positive impact in the world.

Responsibilities

The Opportunity

As a Data Analyst within our International COE, you will be the driving force behind our data products and business tasks resolution. You will have the autonomy to transform complex data into smart control models, analyze processes issues, and contribute to advanced analytics projects. This role is designed for an analytical mind with a passion for BI, stats and programming, who wants to stop being just an executor and start owning solutions that directly impact global decision-making.

The role is accountable for delivery of scalable, high-quality data-based solutions that enable process performance visibility, issue detection, and insight-driven decision-making across global transformation and control initiatives. The role focuses on building and maintaining reliable datasets, analytics models, and dashboards under the guidance of the Data & Analytics Lead.

The role partners closely with the Data & Analytics Lead, fellow International COE team members and stakeholders to enable reliable, actionable analytics solutions. Through this partnership, the Data Analyst helps ensure that data is trusted, reusable, and effectively supports decision‑making, continuous improvement initiatives, and value realization—while operating within established data governance and architectural standards.

Your Impact

As a Data Analyst - Financial Controls for our International Center of Excellence (ICOE) your responsibilities would consist of

Key Responsibilities:

  • Build and maintain curated datasets and data pipelines supporting process KPIs and dashboards
  • Develop analytics models for issue identification, trend analysis, and root cause exploration
  • Ensure data quality, validation controls, and documentation for analytics assets
  • Support predictive and advanced analytics use cases in collaboration with senior team members
  • Contribute to self-service analytics enablement through reusable data products and semantic models
  • Partner with key stakeholders to deeply understand their business challenges, translating their needs into smart, visual data products (dashboards and reports)
  • Provide analytical support for value realization and benefits tracking initiatives

Details:

  • Partner closely with functional stakeholders to implement analytical tools required for process optimization and analysis
  • Build predictive model in order to optimize Financial Control processes
  • Educate other team members on key principles of data transformation and modelling
  • Closely cooperate with International COE and Control stakeholders to ensure timely delivery of the agreed tools
  • Develop and maintain documentation on the dashboards design and logic

People Responsibilities

  • Develop strong working relationships with ICOE and S&T team in course of data solutions development and maintenance.
  • Facilitate smooth deployment of newly created solutions.
  • Champion and embed data-driven decision-making approach across ICOE team members and Controls stakeholders.
Qualifications

Who Are We Looking For?

  • Bachelor’s Degree in Computer Science, Engineering, Data, Mathematics, Statistics, or related field or 3-5 years of experience in data analytics, or business intelligence roles, with a track record of data modelling and data transformation solutions that support business and operational decision‑making
  • Strong analytical mindset with ability to apply statistical and business modeling concepts
  • Basic technical skills in SQL and hands‑on experience with at least one modern analytics or data processing language (e.g., Python, Spark), applied in practical business contexts.
  • Demonstrated experience designing, building, and maintaining analytics‑ready datasets, transformation layers, and reporting models used by analysts and business stakeholders.
  • Hands‑on experience with Power BI, including datasets, semantic models, and dashboards, supporting both standardized reporting and self‑service analytics use cases.
  • Experience or interest in Machine Learning
  • Experience implementing data quality checks, validation rules, and reconciliation logic to ensure accuracy, consistency, and reliability of analytics outputs.
  • Exposure to finance, process, or operational data domains, with awareness of control, risk, or compliance‑related data requirements.
  • Familiarity with cloud‑based data platforms and modern data architecture concepts, working within established enterprise standards.

Differentiating Competencies Required

  • Strong analytical and problem‑solving skills, with the ability to independently investigate data issues, identify root causes, and propose practical solutions.
  • High attention to detail and personal accountability for data accuracy, completeness, and documentation of deliverables.
  • Ability to translate business and technical requirements into clear, well‑structured data and analytics outputs.
  • Clear and effective communicator, able to explain analytical results and technical concepts to non‑technical stakeholders.
  • Collaborative working style, contributing effectively within cross‑functional teams including process, automation, and governance stakeholders.
  • Results‑oriented and capable of managing multiple priorities while delivering high‑quality outputs within agreed timelines.
  • Continuous learning mindset, with openness to developing new technical and functional skills in a dynamic analytics environment.
  • Fluent in English
 
 

What can you expect from us:

  • Opportunities to learn and develop every day through a wide range of programs.
  • Internal digital platforms that promote self-learning.
  • Development programs according to Leadership skills.
  • Specialized training according to the role.
  • Learning experiences with internal and external providers.
  • We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others.
  • Financial wellness programs that will help you reach your goals in all stages of life.
  • A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle.
  • And because your family is also important to us, they can also enjoy benefits such as our Wellness Line, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We respect and value diversity as a work force and innovation for the organization.