Data & Analytics Consulting Analyst
@ Oliver Wyman Group

Munich, Bavaria, Germany
€80,000
On Site
Other
Posted 2 days ago

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Job Details

Who We Are

Oliver Wyman Group is a global management consultancy operating across multiple industries including financial services, energy, and more. Our Data and Analytics (DNA) division, established in 2017, is a dynamic team of quantitative analytics specialists focused on designing innovative solutions to complex challenges.

What You Will Do

As a member of our Data & Analytics team, you will collaborate with clients and colleagues to solve challenging analytical problems. You will design solutions, implement prototypes, assess their effectiveness, and communicate ideas clearly.

  • Develop NLP-based machine learning toolkits.
  • Model portfolio decarbonization strategies.
  • Optimize promotional programs using historical data.
  • Validate and develop GenAI chatbots and risk models.
  • Apply bespoke AI methods to identify supply chain risks.

Why Join Us?

You will experience a steep learning curve, international travel, and in-depth exposure to latest technologies. Our supportive environment includes a dedicated buddy, career adviser, and talent manager to guide your journey while providing flexible hybrid work arrangements.

Who Can Apply?

Candidates with a Bachelor’s, Master’s, or PhD in quantitative disciplines and programming skills (Python or R) are encouraged to apply. Strong communication in German and English is required and interest in financial services is a plus.

Interview Process

The interview process includes conversational and case interviews, designed to help both you and Oliver Wyman understand if there’s a mutual fit. For more interview preparation tips, please visit our careers page.

Key skills/competency

Data Science, Analytics, Python, R, Machine Learning, NLP, Risk Management, Quantitative Analysis, Consulting, Financial Services

How to Get Hired at Oliver Wyman Group

🎯 Tips for Getting Hired

  • Research Oliver Wyman Group's culture: Understand values, projects, and work style.
  • Tailor your resume: Highlight quantitative skills and consulting experience.
  • Prepare case studies: Practice analytical and problem-solving scenarios.
  • Show technical aptitude: Demonstrate practical experience in Python or R.

📝 Interview Preparation Advice

Technical Preparation

Review Python and R coding exercises.
Practice building machine learning models.
Study case problems and analytics toolkits.
Familiarize with NLP and risk modeling.

Behavioral Questions

Explain a time you solved complex problems.
Describe teamwork in challenging projects.
Discuss handling constructive feedback effectively.
Share experiences adapting to new challenges.

Frequently Asked Questions