Company: Marsh Description: Marsh is seeking candidates for the following position based in Paris, La Défense. Data analyst (m/f) What Can You Expect? Collaboration – colleague and client excellence and a collaborative environment Visibility – interaction with colleagues at all levels of our company Culture- work in a diverse culture and an international team What is In It for You? Performance-Based Career Growth - Career opportunities Benefits - competitive salaries and comprehensive benefits and programs Opportunity to support and learn from senior members of the team Tangible impact on company transformation A company with a strong brand and strong results to match In order to strongly develop performance culture, we will count on you to : Create basic and advanced dashboards (target summaries, revenue analyses, process efficiency measurement, etc.) using data visualization software, in order to develop creative design solutions that improve the user reporting experience. Assist in efforts to standardize reporting across business units, following established processes and methodology. As far as possible, also develop automation in producing the reports. Provide first level of analyses to managers and colleagues, challenge conclusions Provide guidance in interpreting and understanding of figures Perform detailed error-checking and data validation, in order to identify and resolve potential data integrity and reporting issues (in collaboration with the data owners and the IT department). Provide support to Business, Finance, and Operations in order to support day to day management, forecasting, and transformations. Develop data culture inside the company and across management. What you need to have: Relevant college/university degree required, or relevant experience within a similar function Minimum 3-5 years substantial business experience in performance or data management, data visualization and/or data quality Performance oriented mindset Excellent stakeholder and change management skills Fluent in English, French What makes you stand out? Excellent performance orientation competencies Good IT and data management skills (dataviz tools, data management tools, data architectures and flows) Excellent communication and interpersonal skills Proven agile mindset, in a changing environment Results and solution oriented Marsh (NYSE: MRSH) is 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 marsh.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. Click here to return to the Marsh Careers Site Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $24 billion and more than 90,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.

Data analyst (m/f).

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