Data Science, Data Analyst - Curitiba, Brasil - Mondelēz International

Mondelēz International
Mondelēz International
Empresa verificada
Curitiba, Brasil

há 3 semanas

Ana Silva

Postado por:

Ana Silva

beBee Recruiter


Descrição

Job Description

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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 rootcause 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

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

We are aware of our role as transformation agents to generate positive change in the society, which is why diversity, equity and inclusion are one of our priorities.

We believe in breaking down stereotypes and barriers to ensure that we represent society within our company.

And for that, we have a D E&I Committee that operates on four fronts, People with disabilities, Ethnic-Racial, Women and LGBTQIAP+, in addition to being part of MOVER - Movement for Racial Equity.


What extra ingredients you will bring

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ability to translate technical language into a business comprehensive message.


Education / Certifications

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Degree in Data Management, Engineering, Engineering, or Digital/Data related scientific discipline


Job specific requirements

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English language skills; Knowledge of Power BI / Alteryx / Python (must have)


Work schedule

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Hybrid - Curitiba -SP


Mondelez International is mindful of the Future of Work and values the well-being of our people, seeking to provide the best experiences.

Therefore, some of our administrative vacancies are eligible for the hybrid model, allowing remote work on certain days of the week.


No Relocation support available

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Business Unit Summary

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Mondelēz Brazil is Mondelēz International's fourth largest operation in the world, with 10,000 employees at 17 sites proudly making, selling and distributing some of the most loved brands of gums, candies, powdered beverages, cream cheeses, chocolates, biscuits, and desserts in Brazil. We make snacking favorites like Bis, Lacta, Oreo, Club Social, Sonho de Valsa, Trakinas, Trident, Halls, Royal, Tang and many others.

We truly are part of Brazilians' lives:
You can find our mouth-watering products in more than 700,000 locations in the country. Our plants are based in Vitoria de Santo Antão, in Pernambuco state, and Curitiba, in Paraná state.

We will relaunch our tech center in 2020 so we can keep creating innovative choices, offering the right snack for the right moment, made the right way.

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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

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Regular

Data Science

Analytics & Data Science

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