Oliver Wyman, a global management consulting firm, is hiring a Data & Analytics Consulting Analyst (m/f/d) in Berlin for its Data & Analytics (DNA) division, founded in 2017 with a focus on Europe. You will help clients make better decisions with quantitative analytics and AI, with a dedicated buddy, career adviser and talent manager and hybrid working.
About Oliver Wyman DNA
Firm: Oliver Wyman, a global management consulting firm and part of Marsh
Division: Data & Analytics, founded 2017, with a focus on Europe
Industries: Financial services, climate and sustainability, energy, retail and transportation
Group: Marsh advises clients in 130 countries, with more than 95,000 colleagues
Benefits & Career Opportunity
Support: A dedicated buddy, career adviser and talent manager
Learning: A steep learning curve with varied projects, industries and technologies
Reach: International exposure and travel where projects need it
Flexibility: Hybrid working, with some teams holding weekly anchor days in the office
Position Overview
As Analyst in the Data & Analytics team, you work through the whole project cycle: structuring the client’s problem, identifying the decisions the analysis must support, assessing data and choosing an analytical approach. You run analyses, build and validate models or tools and turn the results into clear recommendations, with growing ownership of analytical modules and direct client contact. Example projects include an AI toolkit that predicts credit rating downgrades from news, portfolio decarbonisation models for European banks, promotion optimisation for a retail chain, validation of a bank’s GenAI chatbot, credit risk models in Python and supply chain risk detection with live data and AI.
Why This Role Matters: Consulting analytics offers variety that most in-house roles cannot: a new industry and a new problem every few months. With support from a buddy, an adviser and a talent manager, this is a structured start for quantitative graduates who want client exposure.
Key Responsibilities
Project Work
- Structure the client’s problem, identify the decisions the analysis must support and assess the available data
- Pick an analytical approach, run analyses, and build and validate models or tools
Recommendations
- Turn results into clear recommendations
- Take growing ownership of analytical modules and engage directly with clients and senior colleagues
Team
- Share ideas, discuss results with colleagues and clients and help turn findings into impact
Qualifications
Education
- Bachelor’s, Master’s or PhD in a quantitative field such as data science, maths, natural sciences, statistics, computer science or engineering, with a strong academic record
Skills
- Data-driven mindset and ease with numbers, and able to explain data science concepts simply
- Proficiency in at least one of Python or R, and eagerness to learn new tools and methods
Personal & Language
- Teamwork and resilience in a dynamic, changing setting
- Willingness to travel and work on-site with clients
- Business fluency in German and English
- Interest in or experience with financial services and risk management is a plus
About Oliver Wyman
Oliver Wyman is a global management consulting firm that works with clients through their defining moments. Its Data & Analytics division was founded in 2017 and works across financial services, climate and sustainability, energy, retail and transportation. Oliver Wyman is part of Marsh, a global leader in risk, reinsurance and capital, people and investments, and management consulting.
How to Apply: Submit your CV, cover letter, all employment references and academic transcripts, including your school leaving certificate and Bachelor’s and Master’s degrees, through the Oliver Wyman careers page. The interview process mixes conversational and case interviews. The posting gives no email, phone number or salary figure.
Who Should Apply?
- Quantitative Graduates: With Python or R
- Data Scientists: Wanting client work
- PhD Holders: In maths, physics or statistics
- Risk Analysts: Moving into consulting
- Berlin Talent: Seeking international exposure
Recently Opening Job👇
