Working Student – Operations Analyst Zooplus Se

Skills / Requirements

• Automation
• Dashboarding
• Data Analysis
• Excel
• Logistics
• Operations Research
• Power BI
• Python
• Scenario Planning
• SQL
• Supply Chain
• Tableau
• Vibe Coding

Why Apply

This role is ideal for those familiar with Vibe Coding as it involves using Python for automation and dashboarding. You'll apply AI tools to enhance data quality and analytics, crucial for strategic logistics planning.

What You'll Be Doing

You'll gather and organize data, support scenario modeling, and build dashboards to track data quality. Your work will involve ensuring model logic is documented and creating presentations for internal stakeholders.

Pay and Career Growth

The role offers a transparent salary range with growth potential based on skills and impact. Zooplus provides a supportive environment with development opportunities, training, and a multinational team culture.

Benefits and Perks

• bike leasing
• Development opportunities
• Hybrid working
• product discount
• subsidised transport
• Training and support
• wellbeing offers

Is This Role Right for You?

Original Job Description

With over 25 years’ experience, plus the same enormous passion and ambition we had on day-one, we’re trailblazers in the pet e-commerce industry. Our solutions make over 12 million customers genuinely happier – and that’s something we really care about. We work together to continually adapt; embracing change and the challenges it brings so that we can keep doing better. Join us and discover a place where your potential meets your passion for pets. That’s the power of plus.

Role Purpose
As a Working Student, you’ll help the Strategy and Programmes team drive strategic initiatives for zooplus’s long-term logistics network. Your responsibilities will centre around preparing data, documenting processes, supporting models, and conducting analytics to guide decisions regarding footprint, fulfilment centres, assortment goals, and capacity planning.
Data Preparation & Analysis
Gather, clean, and organise data relating to assortment, capacity, lead times, and demand.
Create and verify inputs and assumptions for the strategic network model.
Carry out checks on both data and outputs to spot any gaps or inconsistencies.
Model & Scenario Support
Assist with setting up and running scenarios (such as status quo, target network, sensitivity analyses).
Update key modelling parameters including assortment ranges, FC specifications, and contract constraints.
Present scenario results in clear formats for sharing with stakeholders.
Documentation & Governance
Ensure all assumptions, model logic, and governance details for SNP are well documented.
Help develop Wiki pages, write process descriptions, and produce onboarding materials.
Dashboarding, Automation & Analytics
Build dashboards using Python (Plotly/Streamlit), Tableau, or Power BI to keep track of data quality, inputs, and outputs.
Use Python or Power Query to automate repeatable data tasks.
Set up validation checks for consistent inputs, such as assortment, SKU curves, throughput, and timelines.
Develop prototype analytics to give better visibility into core KPIs like CPP, lead time, and capacity.
Contribute to ongoing improvements in modelling workflows and SNP processes.
Slide & Output Preparation
Design visual presentations for internal audiences (e.g., OLT, SNP Sync, SteerCo).
Share findings clearly using tables, charts, and bullet points.

 
Enrolled student for at least another 6 months, preferably in Logistics, Supply Chain, Data Science, Operations Research, Industrial Engineering, Economics, or a similar subject.
You have strong analytical abilities and an interest in data-driven problem solving and modelling.
Proficiency in Excel is essential; experience with Python, SQL, Tableau, or Power BI is highly advantageous. First experiences with Vibe Coding.
You work in a structured and reliable manner, communicate effectively, and are eager to learn about strategic logistics, OR-based modelling, and scenario planning.
Proficiency in English is required.
Availability for 20 hours per week for a period of 6 months

Headquartered in Munich, with offices across Madrid, Krakow, Wroclaw, London and Vienna, we collaborate because we genuinely love working together – so you’ll be at the heart of an incredible, multinational team. We trust each other to get the job done, which means you’ll benefit from hybrid working, spending 60% of your time in the office and 40% at home. There’s an option to work for 20 days abroad in approved countries too.
Add to that development opportunities that help you to shape your own career path, excellent training and support, wellbeing offers, subsidised transport or bike leasing, plus 20% discount across all our products, and you’ll begin to get a sense of what sets us apart. Find out more about the specific benefits at your local office in our blog posts.
A note on compensation: We believe in being transparent about salary ranges. The range shown reflects the full scope that the role can grow into over time, depending on experience, skills, and impact. Most offers are positioned around the midpoint of the range, ensuring a fair and consistent approach across our teams.
At zooplus, we believe in equal opportunity and support everyone to fulfil their potential. We recognise the power of listening and learning from each other and embrace diversity and inclusion of all.
#LI-Hybrid