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. We are looking for a passionate Data Analyst to join our growing Business Insights team.You will be excited by the project of re-designing our company’s data architecture to support our next generation of products and data initiatives.
How you will contribute
You will:
Have strong analytical skills and the ability to combine data from different sources as well as familiarity with several programming languages.
Overall strive for efficiency & speed to insights by aligning data insights with business goals.
Work in a team and have great communication skills.
Be detail-oriented, with excellent organizational skills and experience in data analysis to maintain the high level requirements
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
Close Business partnering with BNL stakeholders
Analyze, organize/transform &clean raw data from different sources iot be analyzed
Develop and maintain regular reports and dashboards using Power BI to communicate key performance indicators and metrics.
Identify, design, and implement internal processes & process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability as well as optimizing data governance strategies, etc.
Create documentation and data dictionaries to share knowledge & to support end-users of data systems
More about this role
What you need to know about this position:
Requirements:
Excellent analytical thinking, problem solving and troubleshooting skills
Precise attention to detail & being thorough
Think creatively when confronted with a new situation & think clearly using logic and reasoning
Persistence, determination and concentration skills
Team spirit & good communication skills
Project management, pro-activity and organizational skills
Hard Skills:
Preferred education
MS/PhD degree in Computer Science, Math, Economics of Commercial Sciences or a technically oriented field
Coding:
Profound Experience with SQL (MS Server)
Microsoft Stack: Excel, Power Query M, Power BI & DAX is a must have skillset. VBA is nice to have
Basic Python data manipulation knowledge (pandas) is required, working with Jupyter notebooks and PySpark is a plus
Database Design :
Hands-on experience with SQL Server Management Studio (SSMS) (MCSA preferred)
OracleDB or other RDBMS experience is nice to have
General understanding of relational and non-relational database design, schemas, OLAP, etc...
Practical experience with data warehouse, data vault, data lake, data marts & cubes
Cloud Computing :
Experience with BigQuery (Google Cloud).
Basic understanding of Data Lake layers, containers
Experience with ADLS, Azure Data Factory, etc is a plus
Data Visualization :
Profound experience in using Power BI and using it to analyze complex data questions, but also to create end user friendly reports. (Tableau is a plus)
The responsibilities of this position are performed within the framework of a regional business model that is defined and managed by Mondelēz Europe GmbH, Switzerland .
No Relocation support available
Business Unit Summary
At Mondelez Europe, we are proud, not only of the iconic brands we make, but also of the people who make them. Our delicious products are created in 52 plants across Europe by more than 28,000 passionate people. We are the top maker of chocolate and biscuits and a leading maker of gum and candy. We make sure our powerful global brands and local jewels like Cadbury, Milka and Alpen Gold chocolates, Oreo, belVita, LU and Tuc biscuits get safely into our customers hands—and mouths. Great people and great brands. That’s who we are. Join us on our journey to continue leading the future of snacking around the world by offering the right snack, for the right moment, made 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
RegularData ScienceAnalytics & Data Science
