IN SHORT

We’re looking for a hands-on Analytics Lead (80-100%) who’s passionate about turning data into high-impact business outcomes. If you love working at the crossroads of business insight, analytical thinking, and Python development: This one's for you.
 
In this role, you’ll collaborate closely with teams across operations, logistics, finance, R&D, and sales to frame key business challenges, develop and implement data-driven solutions, and lead a small but mighty team of analytics and engineering professionals. You’ll report directly to our CTO and act as the crucial link between business needs and data capabilities.

YOUR RESPONSIBILITIES

Business-Driven Problem Solving

• Partner with stakeholders to understand business challenges and identify high-impact analytics opportunities
• Translate strategic questions into structured analytical projects and define KPIs that drive insight and measurable outcomes

Hands-On Analytics & Data Science

• Own and improve production-grade algorithms for forecasting and stock optimization
• Ensure models are scalable, reliable, and treated as real software, not just prototypes or notebooks
• Design experiments with deployment-readiness and operational robustness in mind
• Use Python (pandas, scikit-learn, etc.) and SQL to build and maintain stable, well-documented pipelines
• Monitor and adjust algorithms based on performance and changing business needs
• Align algorithmic outputs with business goals and logic

Leadership & Technical Guidance

• Lead and mentor a small cross-functional analytics team
• Prioritize projects by impact and feasibility
• Foster a pragmatic, delivery-focused culture with high-quality outcomes

Collaboration with Data Engineering

• Work closely with data engineers to ensure reliable, well-structured data
• Help improve pipelines and infrastructure to support scalable analytics

YOUR PROFILE

• 4–7 years of experience in analytics, data science, or applied machine learning
• A degree in Computer Science, Engineering, or a related technical field
• Strong hands-on skills in Python for data manipulation, modeling, and experimentation
• Confident in SQL and working with large datasets; familiarity with Snowflake or similar platforms is a plus
• Proven ability to translate business questions into analytical solutions with measurable impact
• Experience leading or mentoring technical team members
• Experience with forecasting, supply chain, or inventory optimization models is a plus
• Background in fast-growing or scale-up companies is a plus
• You are fluent in written and spoken English, German would be a plus
• Non-smoker – you don’t smoke during the day and never smell like cigarettes: FELFEL is about healthy living
• EU/EFTA or Swiss residence permit

OUR BENEFITS

• Lots of delicious food, just a few steps away from your desk - we make your gastronomic dreams come true
• Best barista coffee and tea for the whole team, thanks to our innovative Gavetti coffee machine
• 5 weeks holiday per year, as well as two full weeks of ‘work from anywhere’ per year to bring more variety to your work day
• We encourage our employees to use public transport by covering your half-fare travelcard
• New parents get 16 or 3 weeks, respectively, of fully paid parental leave. We also support the return to work by making a generous financial contribution to childcare until the child reaches kindergarten age.
• Great team events, such as our well-known FELFEL Summer Outing

ABOUT US

FELFEL is all about good food and coffee in the workplace: we help Swiss employers become masters of hospitality. 
With our smart fridge ‘FELFEL’ and delicious barista coffee ‘Gavetti’, we enable companies to provide their employees with first-class, ultra-fresh food and drinks throughout the day. Whether hearty and traditional, modern and vegan or high in protein - our weekly changing menu ensures that all employees always have something to be excited about ;).
FELFEL is a family business that was founded in 2013. Today, we take care of around 1000 locations in Switzerland, and have 150 employees across our offices in Lausanne, Zurich and New York. 
www.felfel.ch

Start: As soon as possible 
Location: Zurich Wiedikon