Data Management and Governance Lead (1-year FTC)

Job Description

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 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

You will:

• Analyse and derive value from data through the application methods such as machine learning and data visualization.
• 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 data accuracy. 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 sources to use or acquire. Support future technology or solution implementations, providing expertise in new data source management and 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

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

• 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., to process data and gain insights from it is beneficial.
• Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural 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

Business Unit Summary

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our succes

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.

Excited to grow your career?

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER

Job Type

Temporary (Fixed Term)

Data Science

Analytics & Data Science