Teamlead Analytics & Data Science f/m/d

This is who we are
Galaxus culture finds its origin in our values:
cooperative, innovative, piratesque, responsible, and ambitious. We give feedback straight-up granting everyone the power to own their actions and grow through epic wins and rough patches. "Grow with us. Be brave, stay true" is the mantra that inspires transparency, boosting a culture of openness and knowledge-sharing.

As the top Swiss e-commerce platform, with a crew of over 3,000 across Switzerland, Germany, and Serbia, Galaxus is on the move to new markets. We're on the lookout for characters who know that it's diversity that gets us to grow and succeed. Being bold and out-of-the-box isn't just encouraged - it's basically our brand.

We are looking for a technically versed and experienced team lead for our analytics team which serves the category management area. A successful candidate will not only be responsible for leading a cross-functional team of analytics engineers and machine learning engineers, but will also be contributing to the technical output of the team. If you have excellent communication skills, are hands-on, can lead by example, and are passionate about delivering business value to stakeholders, keep reading.
Your responsibilities
Lead a data team of ~6 alongside the product owner, guiding analytics and machine learning engineers, while actively contributing to various initiatives.
Help maintain and further develop and shape our various category management related products (e.g. profitability, provider reporting, performance program for brands, provider order reliability).
Develop the team's hard and soft skills, ensuring motivation, growth, and well-being.
You are responsible for the technical aspects of our products including code quality, system architecture and technical planning. You are a sparring partner for the team for architectural and conceptual discussions.
Ensure the team's output aligns with the company's strategic objectives and key results.
Constant learning and gathering business know-how on how the category management processes work and evolve over time.
Your skills
5+ years of experience as an analytics engineer or data scientist, with a relevant degree or equivalent experience.
Proven experience leading cross-functional technical teams and familiarity with agile methodologies.
Experience with ETL, data modelling, data analysis and reporting using BigQuery, Dataform, and Tableau. Initial experience bringing models into production is a big plus (being heuristics or ML models).
You are an expert in SQL (preferably BigQuery) and have a good knowledge of Python.
Familiarity working with OLAP tools like Cubes is a plus.
Strong problem-solving skills, technical understanding, and ability to handle complex scenarios independently or in a team.
Fluent in English and good German (at least B2).
Feeling comfortable with constant change is one of your strengths.
You thrive and promote working in a transparent environment, where open feedback, assertive communication, diversity, collaboration, self-awareness, and self-responsibility is highly valued.
Why start with us?
Culture is Everything:
Our values-cooperative, innovative, piratesque, responsible, and ambitious-form the foundation of our journey. Culture isn't just part of what we do; it's the essence of who we are.
Courage and Unconventionality:
Your courage and innovative spirit are valued here. We challenge conventional wisdom, embracing those who dare to think differently.
Uncomplicated:
Simplicity is at our core. We avoid the unnecessary, focusing on what truly matters-your development, our collective achievements, and tackling challenges with adaptability and resilience.
Flexibility and Freedom:
We believe that innovation and creativity thrive in an environment where flexibility and freedom are prioritized. We offer home office options, up to 8 weeks of workation, and every position is available from 80-100%.
Fast Lane Growth:
With us, growth is a continuous journey. You'll have opportunities to expand your horizons, both personally and professionally. To support this, we offer all employees up to 2000 EDU points .
Other Benefits:
Enjoy discounted employee conditions in our shops and much more.
We are looking forward to your application via our online application tool.
Your contact for this vacancy:

Digitec Galaxus AG
Elena Efimova, People Attraction
Write an email
044 575 98 20

galaxus.ch/joboffer
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