Mondelez International

Data Engineer

Mexico
React SQL R Python
Description

Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It With Pride.

You will help our business react to changing business conditions with excellent data analysis. You will define the requirements, perform the analysis and identify patterns in large amounts of data.

How you will contribute

You will:

  • Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements
  • Identify patterns and help the business react to changing business conditions
  • Perform root-cause analysis and interpret data
  • Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities and delivers analysis outputs in accordance with customer needs and conforming to established standards
  • Understand and be involved with aspects of the data science process
  • As the investigator on the data science team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools, and producing basic data visualizations and reporting dashboards

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

  • Knowledge of Microsoft Excel, Power BI, SQL,R, Python, SAS software, Google Analytics, Google Tag Manager, Tableau, Google AdWords, statistical software
  • Moderate knowledge in math and statistical skills, strong business acumen, moderate computer science/coding skills
  • Develop key performance indicators and create visualizations of the data
  • Utilize business intelligence and analytics tool

  More about this role

  • Design and Build: Develop and implement scalable, secure, and cost-effective cloud-based data solutions.
  • Manage Data Pipelines: Developing and maintaining data pipelines to extract, transform, and load data into data warehouses or data lakes.
  • Ensure Data Quality: Implementing data quality and validation processes to ensure data accuracy and integrity.
  • Optimize Data Storage: Ensure efficient data storage and retrieval for optimal performance.
  • Collaborate and Innovate: Work closely with data teams, product owners and stay updated with latest cloud technologies and best practices to remain current in the field.
  • Work schedule: Hybrid in our head offices in Santa Fe. 

No Relocation support available

Business Unit Summary

At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.

We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.

Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Type

Regular

Data Science

Analytics & Data Science
Mondelez International
Mondelez International
Consumer Goods Food and Beverage Food Processing Manufacturing

0 applies

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