You align your daily work with the question: “How can we make our customers even happier?”
You develop a deep understanding of customer behavior, our business model and the interdependencies between different departments.
You act as an analytical sparring partner for various stakeholders and support them in (further) developing use cases based on customer-centered analyses.
Specifically, you will support: the evaluation of new analytics use cases and their initial implementation; exploratory analysis, integration and preparation of new data sources as part of analytics engineering projects; the development and refinement of relevant dimensions and metrics; and the creation of new data products (e.g. clustering or predictive modeling) within advanced analytics projects.
You generate appropriate datasets for self-service analytics use by the business teams.
In addition, you produce in-depth analyses and reports and handle short-term ad hoc requests.
You proactively contribute new ideas and work cross-functionally with colleagues from areas such as Strategic Marketing, Revenue Management, Procurement, Supply Chain, IT and Business Intelligence.
You develop a holistic understanding of our customer and business data, identify connections across departmental boundaries and help answer complex questions along the customer journey.
Requirements
A degree in Business Informatics, Statistics, Business Analytics, Economics or a comparable program with a focus on data processing and analysis.
Strong numerical affinity, interest in working with large datasets and excellent analytical skills.
Initial experience with SPSS, R, Python or another data analysis tool, for example within seminar or thesis work.
Experience with SQL, Power BI, dbt or Databricks is an advantage.
Ideally, you have already gained practical experience in an analytical role, e.g. through an internship or working student position.
You speak fluent German.
A hands-on, practical mentality and the willingness to continuously develop the role and your responsibilities are a given for you.
Tech Stack
Python
SQL
Benefits
Work–life balance – Structure your working day flexibly according to your needs and enjoy the freedom of mobile working.
Job ticket & Business Bike – So not only your working hours are flexible.
Start-up perks – Enjoy free drinks and the occasional game of foosball or table tennis as a break from work.
flaschenpost Learning – Create your personal learning journey and expand your know-how through diverse and innovative training offerings.
Buddy program – Your flaschenpost buddy will support you with advice and assistance during onboarding.
State-of-the-art technology – We place great value on progress and innovation.
Team and networking events – Stay fit and get to know your colleagues better through company sports, game nights and regular meetups.
Corporate benefits – Whether shopping or sports, benefit from discounts and offers at online shops, gyms and exclusive conditions with Hansefit and Urban Sports Club.
Social responsibility – Blood donation drives during working hours to help save lives.