Data & Analytics Analyst - Lisbon

Marsh McLennan · Lisbon - Antonio · Portugal

Data & Analytics Analyst in Lisbon: Build dashboards and drive analytics insights for Oliver Wyman. Join Marsh: Create data stories, mentor teams and shape business decisions in a hybrid, innovative environment.

Company:

Oliver Wyman

Description:

The Opportunity:

The Data and Analytics Analyst will be responsible for creating and maintaining reporting artifacts (dashboards and reports) connected to the operations of Oliver Wyman. Our ideal candidate not only understands the technical sides of reporting but is passionate about the field of analytics where they can use their problem-solving skills and creativity to uncover the “Why” for the analysis.

***PLEASE SUBMIT CVs IN ENGLISH***

Key Responsibilities:

Experience Required:

Skills and Attributes:

Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X. 

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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