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Operations Analyst (All Genders)

zooplus SE

München

Hybrid

EUR 60.000 - 80.000

Vollzeit

Gestern
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading e-commerce company located in Munich is looking for a professional to translate complex operational questions into structured analytical problems. This role involves developing models to support decision-making, analyzing datasets, and creating decision-support tools tailored to supply chain needs. The ideal candidate will have a university degree in a relevant field along with proficiency in Python, SQL, and Excel. This position offers a hybrid work environment.

Leistungen

20% discount in shop
Internal and external training
Team events
28 vacation days
Gym membership
Company mobile phone

Qualifikationen

  • Proficiency in Python, SQL, and Excel.
  • Experience in developing models, dashboards, and decision-support tools for logistics or e-commerce.
  • Strong communication skills to present findings clearly.

Aufgaben

  • Translate complex operational questions into structured analytical problems.
  • Analyze diverse datasets to identify trends and evaluate trade-offs.
  • Design and build dashboards and tools to support strategic decisions.

Kenntnisse

Python
SQL
Excel
Data analysis
Analytical methods
Optimization
Statistical modeling

Ausbildung

University degree in Industrial Engineering
Operations Research
Supply Chain Management

Tools

Gurobi
CPLEX
Jobbeschreibung

Translate complex operational questions into structured analytical problems

Develop and apply models to support decision-making in areas such as strategic network design lead time optimization tactical and capacity planning

Analyze large diverse datasets to identify trends simulate scenarios and evaluate trade-offs (cost lead time service level)

Make intelligent assumptions where data is incomplete; ensure robust and practical solutions

Design and build dashboards visualizations and prototype tools to support strategic decisions

Execute deep-dive and ad-hoc analyses to support both day-to-day operations and long-term initiatives

Create and enhance scalable decision-support tools tailored to e-commerce and supply chain needs

Collaborate cross-functionally with stakeholders to understand business requirements and deliver actionable insights

Communicate complex findings clearly to both technical and non-technical audiences

Contribute to the continuous improvement of analytics capabilities and operational excellence initiatives

Qualifications

University degree in Industrial Engineering Operations Research Supply Chain Management Applied Mathematics Data Science or a related field

Proficiency in Python SQL and Excel

Experience in developing models dashboards and decision-support tools for logistics or e-commerce use cases

Solid understanding of analytical methods; interest or experience in optimization simulation or statistical modeling

Familiarity with optimization tools such as Gurobi or CPLEX is a plus

Strong data analysis skills including handling large datasets and drawing actionable insights

Ability to work independently on complex analytical tasks and contribute to cross-functional projects

Strong communication skills with the ability to clearly present analytical findings to technical and non-technical stakeholders

Team-oriented mindset with the ability to manage multiple tasks in a dynamic environment

Fluent in English

Additional Information

With more than 1000 passionate professionals located across 6 European offices we believe our success comes from working together and leveraging our international strengths. Expect a hybrid work setup : 60% in-office 40% remote collaborating with colleagues across locations.

Our Benefits
  • 20% discount in our zooplus shop
  • Internal and external training
  • Team events
  • 28 vacation days and days off on 24th and 31st of December
  • Corporate rates at a local gym chain (Body & Soul)
  • Company mobile phone for work and personal use

#LI-Hybrid

Company equal opportunity statement

zooplus is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.

Remote Work: No

Employment Type: Full-time

Key Skills
  • Fashion Retail
  • Academics
  • CFA
  • Audio Visual
  • Concrete Pump
  • Event Marketing

Experience: years

Vacancy: 1

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