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 be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating you’ll findings to the business. You will work with various stakeholders to determine how to use business data for business solutions and insights.
How you will contribute
* Analyse and derive value from data through machine learning and data visualization.
* Understand business challenges and create actionable insights, then communicate findings to stakeholders and determine how to use business data for solutions.
* Facilitate data-driven decision-making by identifying trends and coordinate with technical/functional teams to implement models and monitor results.
* Act as a point of contact for data issues and serve as a liaison between UK&I Sales and Mondelez Digital Services in problem solving, escalation, and resolution.
* Develop processes, techniques, and tools to ensure data accuracy; own data governance and manage the data maintenance agenda for UK&I Sales.
* Evaluate analytical needs, assess problems, and choose internal or external data sources; support technology or solution implementations and provide expertise in data source management and integration.
* Contribute to exploration and experimentation in data visualization, review benefits and value of analytics techniques and tools, and recommend improvements.
What you will bring
* Strong analytical skills with a foundational understanding of quantitative methods and a natural inclination toward solving complex problems.
* Experience with statistical programming languages including R, Python, SQL, etc., to process data and gain insights.
* Knowledge of machine learning techniques such as decision tree learning, clustering, artificial neural networks, and their pros and cons.
* Experience in advanced statistical techniques and concepts including regression, distribution properties, and statistical testing.
* Good communication skills to promote cross-team collaboration.
* Practical experience in data analysis, pattern recognition techniques, and data visualization tools to showcase data for stakeholders.
Relocation Support
No relocation support available.
Business Unit Summary
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
Temporary (Fixed Term)
Data Science
Analytics & Data Science
J-18808-Ljbffr