Network Optimization Sr. Data Anlayst

hace 5 meses

Miguel Hidalgo, México PepsiCo A tiempo completo

**Overview**

**We Are PepsiCo**

Join PepsiCo and dare to transform We are the perfect place for curious people, thinkers and change agents. From leadership to front lines, we're excited about the future and working together to make the world a better place.

Being part of PepsiCo means being part of one of the largest food and beverage companies in the world, with our iconic brands consumed more than a billion times a day in more than 200 countries. In PepsiCo Mexico is one of the most important consumer products companies in the country. 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.

**Know a little more**:PepsiCoJobs

**Join PepsiCo, dare to transform.**

**Responsibilities**

**The Opportunity**

This role will be responsible to gather, clean, analyze, provide ingights and recommendations, data update processes for the construction of the Tactical Netwrok optimization models for the different business units throughout LATAM. Also, it must guarantee the availability and accuracy of the information when required, as well as the correct use of Data Guru to transform large databases into input files for the Supply Chain Guru models.

**Your Impact**

As Network Optimization Sr. Data Anlayst your responsibilities would consist of:

- Update and simplify templates for the data gathering process.
- Creation of new templates as needed for data gathering process.
- Guarantee compliance with timeline in the data refresh processes.
- Validation of information sent by local teams in data refresh processes.
- Develop the dashboard for the outputs of the Supply Chain Guru models.
- Use Data Guru to create input tables for Supply Chain Guru.
- Support Sr. Modeler in the doubts that he has about the information used for the creation of the Suply Chain Guru Models.
- Automate data extraction, data cleansing, data analytics process, provide insights and recommendations using data engineering and data science techniques.

**Qualifications**

**Who Are We Looking For?**
- Industrial Eng. / Data Science Eng. / Business Intelligence / Supply Chain Management.
- More than 3 years of experience in Data Analytics focused in Supply Chain.
- Leadership
- Oriented to Results.
- Agility to solve problems.
- Transformational
- Analytical Thinking Skill.
- Teamwork
- Excellent interpersonal relationships.
- Ability to handle critical situations with tact and diplomacy.
- Expertise in Python, R, Alterix, etc (MUST).
- Manage of big data bases on SQL (MUST) or similar.
- Use of Data Guru (MUST).
- Negotiation skills.
- Communication skills.
- Analytical skills.

**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.

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