Lead Specialist - Data Analytics & Insight

Company:

Marsh

Description:

• Supporting Cyber Risk Specialty, creating data packs,using the Cyber data from various sources to support the business.

• Working collaboratively with the Digital team to support and drive innovative business solutions and growth initiatives.

• Develop and maintain front-end applications using Power Apps, ensuring a seamless user experience.

• Understand our business model to analyze data and provide actionable insights.

• Collaborate with colleagues across various levels to align analyses with business objectives.

• Assemble and process large datasets, identifying and implementing internal process improvements.

• Gather and model data using Python to support strategic decision-making.

• Create visually appealing dashboards using Power BI to effectively communicate insights.

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 embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, 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.