Data Analyst Global Packaging R&D

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

More about this role

What you need to know about this position:

What extra ingredients you will bring:

• 3-5 years of relevant experience in data analysis, reporting, and visualization.
• Proven experience in reporting and managing projects with cross-functional and global stakeholders.
• Experience in Visualization Tools (Tableau/Power BI/Spotfire)
• Experience in Data Management and Processing Tools (Alteryx/R/Prep/SQL)
• Experience bringing data together from multiple platforms and showcasing it in easy-to-understand visualizations.
• Familiarity with statistical analysis techniques and tools is a plus.
• Experience in the FMCG/Food Products/Supply Chain industry is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Strong business acumen and the ability to understand business needs and translate them into data-driven solutions.
• Ability to work independently and as part of a team.

Education / Certifications:

Bachelor’s or Master’s degree in a quantitative field such as Statistics, Applied Mathematics, Engineering, Data Science, or a related field.

Job specific requirements:

You will be crucial in supporting our business within Packaging R&D by creating valuable, actionable insights about the data, and communicating your findings to the business. Formulate business problems as data problems and work on solving them through systematic analysis and creating visualizations wherever appropriate.  You will work with various stakeholders to determine how to use business data for business solutions/insights impacting productivity, sustainability and other key packaging initiatives.

Data Analysis and Visualization:

• Analyze large datasets related to packaging, material properties, sustainability metrics, and financial data.
• Design, develop, and maintain interactive dashboards and reports using Power BI (primary tool), and other visualization tools to track key performance indicators (KPIs) and communicate insights effectively.
• Create ad-hoc reports and presentations to address specific business questions and support decision-making.
• Develop scalable and sustainable reporting solutions to unlock new insights and data exploration opportunities.
• Opportunity for knowledge development of Databricks / Python and Modelling & Simulation capabilities

Collaboration and Communication:

• Partner with business stakeholders to understand their data needs and translate them into effective reporting solutions.
• Present findings and recommendations to both technical and non-technical audiences.
• Build trust and credibility with different stakeholders to achieve common organizational goals and targets.
• Participate in meetings and collaborate with team members and stakeholders across different time zones, requiring occasional flexibility in working hours.
• Collaboration with Central Digital R&D team

Travel requirements:

Work schedule:

Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy

Business Unit Summary

At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.

We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.

Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.

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