Marsh McLennan

H1B Visa Sponsor Finance Legal Marketing

Marsh McLennan is a global professional services firm working across risk, strategy, and people-related advisory services. Its businesses include Marsh, which provides insurance brokerage and risk management; Guy Carpenter, focused on reinsurance and capital strategies; Mercer, serving clients in health, wealth, and career consulting; and Oliver Wyman, specializing in strategy, economics, and brand consulting. With a workforce of more than 85,000 employees worldwide, Marsh McLennan brings together expertise across finance, consulting, marketing, and related professional services. The company’s hiring landscape spans roles supporting client advisory, risk analysis, business strategy, consulting, and operational teams across its four businesses.

Company Jobs

Data & Analytics Consulting Analyst – Berlin Hybrid

Develop quantitative models and AI solutions for Oliver Wyman consulting clients in a hybrid Berlin role. Turn complex analyses into practical recommendations across industries.

1 week ago

Germany Hybrid Full-time Middle Senior German Required English Required Data Analyst

Python

Description

Frame client problems around the decisions that analysis must inform
Evaluate available data and choose suitable analytical methods
Perform analyses while building and validating models and tools
Convert analytical results into concise, actionable recommendations
Assume growing responsibility for individual analytical modules
Work directly with clients and senior colleagues
Exchange ideas and present findings to project teams and clients
Connect analytical insights to tangible recommendations and business impact
Design tailored Data & Analytics solutions for clients across industries and regions
Support initiatives involving AI toolkits, portfolio decarbonization, promotion optimization, GenAI chatbot validation, credit risk modeling, and supply chain risk identification

Requirements

Bachelor’s, master’s, or doctoral degree in a quantitative field such as data science, mathematics, natural sciences, statistics, computer science, or engineering
Consistently strong academic performance
Analytical, data-oriented approach with confidence working with numbers
Ability to communicate advanced data science concepts clearly to clients and colleagues
Working proficiency in Python or R
Motivation to build expertise in new technologies and analytical techniques
Strong team orientation and resilience in a creative, fast-changing environment
Willingness to travel and work at client sites when needed
Professional fluency in German and English
Interest in or prior experience with financial services and risk management is advantageous

Benefits

Hybrid flexibility combining mobile work with collaboration in the office
Authorization to work remotely
Possible weekly team anchor days at the office location
Support from a dedicated buddy, career adviser, and talent manager
International project exposure and opportunities for overseas travel
Ongoing professional development and learning opportunities
Inclusive workplace with strong team support
Flexibility and resources that support work-life quality

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Description

Requirements

Benefits

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