Analytics Lead
vor 37 Minuten
**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.
**Start**: As soon as possible
**Location**: Zurich Wiedikon
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