Job Description
You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.
How You Will Contribute
* Analyseand derive value from data through the application methods suchas machine learning and datavisualization.
* Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights.
* Facilitate data-driven decision-making by identifying trends. Coordinate with other technical/functional teams to implement models and monitor results.
* Act as a point of contact for issues relating to data and play a critical lynchpin role between the UK&I Sales and the Mondelez Digital Services counterparts in problem solving, escalating and resolving.
* Develop processes, techniques, and tools to ensure dataaccuracy. Own the data governance, and the data management and maintenance agenda for the UK&I Sales.Evaluate the need for analytics, assess the problems to be solved and what internal or external data sourcesto use or acquire. Support future technology or solution implementations, providing expertise in new data source managementand integration to the ecosystem
* Contribute to exploration and experimentation in data visualization and you will manage reviews of the 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. A natural inclination toward solving complex problems
* Knowledge/experience with statistical programming languages including R, Python, SQL, etc., toprocess data and gain insights from it is beneficial.
* Knowledge of machine learning techniques including decision-tree learning, clustering, artificialneural networks, etc., and their pros and cons
* Knowledge and experience in advanced statistical techniques and concepts including,regression, distribution properties, statistical testing, etc.
* Good communication skills to promote cross-team collaboration
* Knowledge and practical experience in diverse data analysis and pattern recognition techniques. Ability to use data visualization tools to showcase data for stakeholders
Relocation Support Available? No Relocation support available
Mundelēz 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