Senior Data Analyst (m/f/d), Frankfurt Am Main

As a world leading food company DANONE stands for international success. Around 104.000 employees work on all five continents in the four business areas Fresh Dairy Products, Early Life Nutrition, Waters and Advanced Medical Nutrition on one corporate mission: “Bringing health through food to as many people as possible.”

Missions

• Design & maintain data model, ensuring data quality & accuracy
• Comprehend, extract, automate processes and model information from complex data sources to deliver business insights and recommendations
• Use statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts
• Define use cases in collaboration with business partner to drive performance understanding and transparency through set KPIs and data visualization
• Collaborate with local & regional IT to identify opportunities for process improvement & data model development
• Drive data transformation within DACH acting as ambassador for D&A, bringing added value through data analysis and recommendation
• Work hand in hand with business teams such as digital marketing, ecommerce, sales or operations teams

Profile

• Bachelor’s or Master’s degree in computer science, mathematics or statistics with minimum 4 years of experience
• Ability to relay analytical insights to senior business stakeholders with various levels of data & analytics knowledge
• Curiosity, creativity, and passion for surfacing real-world trends in media, marketing, technology, and consumer behavior and the curiosity and passion to keep up with macro news and trends
• Advanced knowledge of data science languages (R, Python, SQL), data visualization tool (PowerBI)
• Strong business acumen, communication skills and stakeholder’s management skills
• Team oriented, hands on, highly collaborative and able to build cross-functional relationships
• Knowledge of Google Analytics, DataStudio and alike is a plus
• Experience as data product owner or project manager of data solutions is a plus
• Fluent in English, German is a plus