Python Job: Sales Data Analyst

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.

Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.

How you will contribute

You will:

• Execute the business analytics agenda in conjunction with analytics team leaders
• Work with best-in-class external partners who leverage analytics tools and processes
• Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

What you will bring

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

• Using data analysis to make recommendations to analytic leaders
• Understanding in best-in-class analytics practices
• Knowledge of Indicators (KPI's) and scorecards
• Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus

More about this role

Education / Certifications:

• Cursando o Graduado/a de Ingenieria Industrial, Administración de empresas o carrera afin.

Work schedule: 9:00hs a 18:00hs.

No Relocation support available

Business Unit Summary

Mondelēz Southern Cone represents Mondelez International operations in Argentina, Uruguay and Paraguay. We produce over 40 iconic and delicious brands with more than 400 products including Milka , Oreo , Cadbury and Tang , and local jewels like Mantecol , Cerealitas , Terrabusi and Clight , among others. More than 3,300 wonderful people proudly work make our delicious snacks at three production plants in Argentina: the Pacheco Plant in Buenos Aires Province, the Victoria Plant (also in Buenos Aires Province), and Villa Mercedes Plant in Villa Mercedes Province.

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.

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