Client Relationship Management - Analyst

Description:

Are you a recent graduate eager to launch your career in data analysis and risk engineering? We are seeking a motivated and detail-oriented Graduate Risk Engineering Data Analyst to join our dynamic MEA Energy and Power Risk Engineering Data Analytics team. This is an exciting opportunity to support our Energy and Power Risk Engineering teams by gathering, analyzing, and interpreting data to provide actionable insights that drive risk assessments.

We will count on you to:

• Collect and organize data from various sources, including risk engineering surveys and internal databases. Analyze and interpret data using Microsoft Excel and in-house tools to ensure accuracy and derive actionable insights.
• Collaborate closely with the MEA Energy and Power Risk Engineering teams to support risk assessments, insurance submissions, and client presentations, providing data-driven insights to assist in identifying and mitigating potential risks.
• Engage with major regional and global clients, participate in client meetings, and assist in preparing presentations and reports.
• Shadow experienced risk engineers during field surveys to gain hands-on exposure to the practical aspects of risk engineering and participate in ongoing training to develop expertise in risk engineering and data analysis.
• Utilize the Microsoft Suite of tools (Excel, PowerPoint, Word, etc.) to organize data, create reports, and present findings, while leveraging advanced data tools to improve efficiency and depth of analysis.
• Manage multiple tasks and prioritize effectively to meet deadlines in a fast-paced environment, maintaining organized records and reports of all data and analyses.
  
  

What you need to have:

• A recent graduate with a degree in Engineering, Data Science, Mathematics, or a related field. Knowledge of risk engineering concepts is an advantage.
• Strong proficiency in Microsoft Excel and the broader Microsoft Office suite; experience with advanced data tools is beneficial.
• Ability to interpret technical data and apply engineering knowledge to analyze risk factors, with strong analytical skills and attention to detail.
• Excellent organizational and time-management skills, with the ability to multitask and work under pressure.
• Strong communication skills, both written and verbal, with the ability to present findings clearly. A proactive and enthusiastic attitude with a willingness to learn and develop professionally.
  
  

Why Join Us?

• Learning and Development: Gain invaluable experience from seasoned professionals in the risk engineering field and exposure to global clients while participating in risk assessments across diverse industries.
• Career Progression: This role offers a unique path for career development with potential growth into more senior technical or client-facing roles.
  
  

Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.

Marsh McLennan 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, disability, ethnic origin, family duties, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, skin color, or any other characteristic protected by applicable law.

Marsh McLennan 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 McLennan 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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