Data Engineer

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
• Working with multiple vendors and encouraging collaboration for a specific software or application
• Working on complex projects
• Stakeholder management and influencing skills
• Project management
• Working in a global IT function with regional or global responsibilities in an environment similar to Mondelēz International
• Working with IT outsourcing providers using frameworks

More about this role
We are aware of our role as transformation agents to generate positive change, so diversity, equity and inclusion are one of our priorities. We believe in breaking down stereotypes and barriers to ensure the representation of society within our company. And for that, we have a Diversity Committee that operates on four fronts, People with disabilities (PCD), Ethnic-Racial, Women and LGBTQIAP+, in addition to being part of MOVER - Movimento pela Equidade Racial.
Mondelez International is attentive to the future of work and values the wellbeing 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
Business Unit Summary
Mondelēz Brasil is Mondelēz International's fourth largest operation in the world, with approximately 7,500 employees proudly producing, selling and distributing some of the most beloved brands of chewing gum, candies, powdered beverages, cream cheeses, chocolates, cookies and desserts in Brazil. We make the Brazilians' favorite products such as Bis, Lacta, Oreo, Club Social, Sonho de Valsa, Trakinas, Trident, Halls, Royal, Tang and many others. We are truly part of the lives of Brazilians: You can find our mouth-watering products in more than 700,000 points of sale and we are present in more than 92% of Brazilian homes. Our factories are located in Vitória de Santo Antão, in the state of Pernambuco, and Curitiba, in the state of Paraná. We are also home to one of the company's 11 technology centers around the world, responsible for research and development, so we can continue to create new and innovative products, offering the right snack for the right time, done in the right way.
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