Analyst I - Advisory

Marsh Risk; Dubai; Hybrid; AED 201,000 - 312,000; Full time

Job summary

Marsh is seeking a motivated Graduate Risk Engineering Data Analyst / Data Scientist to join the MEA Risk Engineering / Technology and Innovation team supporting Energy and Power initiatives in Abu Dhabi or Dubai. The role blends data analysis, process improvement, and hands-on risk engineering exposure in a dynamic, hybrid-work environment.

You will collect and analyze data, build internal tools, and collaborate with risk engineers to support assessments and client presentations, while

Qualifications

• Recent graduate with degree in Engineering, Data Science, or Mathematics.
• Strong proficiency in Microsoft Excel and data analysis.
• Familiarity with programming languages and automation tools is a plus.

Responsibilities

• Assist in process analysis and digitalization to improve workflows.
• Develop internal tools and applications for MEA Energy and Power teams.
• Collect, validate, and analyze data from surveys and internal databases.
• Support risk assessments, insurance submissions, and client presentations with data insights.
• Contribute to training and development and collaborate with risk engineers.

Skills

Excel proficiency

Data analysis

Programming language familiarity

Automation tools

APIs

Communication skills

Organizational skills

Proactive mindset

Education

Engineering/Data Science/Mathematics degree

Tools

APIs

Automation tools

Low-code/no-code platforms

Job description

Job Description:

Marsh is the world’s leading insurance broker and risk advisor. We protect and promote possibility—helping clients dream bigger, reach further, and plan for the opportunities ahead. We bring solutions that help our clients manage risk, grow, and succeed.

Graduate Risk Engineering Data Analyst / Data Scientist (Technology & Innovation) — Energy & Power | Abu Dhabi / Dubai

The Role

We are seeking a motivated and detail-oriented graduate to join our MEA Risk Engineering / Technology and Innovation team, supporting Marsh Specialty’s Energy and Power Risk Engineering teams.

This role blends process improvement, digitalization, data analysis, and hands‑on exposure to risk engineering. You will help analyze how our teams work, identify inefficiencies, and contribute to building digital tools and automated solutions that improve internal processes—while also supporting risk engineering deliverables and client work.

Key Responsibilities

• Process Analysis & Digitalization: Work closely with internal teams to understand existing workflows and processes, identify opportunities for improvement, and support the design of digital solutions that increase efficiency and reduce manual effort.
• Innovation and Software Development: Build and maintain internal tools and applications that solve real business problems faced by our Energy and Power teams across the MEA region. Explore and apply emerging technologies, including AI and machine learning where appropriate, to develop smarter internal solutions.
• Data Collection & Analysis: Collect, organize, and validate data from multiple sources, including risk engineering surveys and internal databases. Analyze and interpret data using Microsoft Excel and internal tools to ensure accuracy and generate actionable insights.
• Collaboration with Risk Engineers: Partner closely with the MEA Energy and Power Risk Engineering teams to support risk assessments, insurance submissions, and client presentations. Provide data-driven insights to help identify and mitigate potential risks.
• Client Support: Support the preparation of presentations and reports and participate in internal and client meetings as required.
• Training & Development: Shadow experienced risk engineers during field surveys to gain practical exposure to risk engineering. Participate in ongoing training to develop expertise in risk engineering and data analysis.
• Tools & Software: Use Microsoft tools (Excel, PowerPoint, Word, etc.) to organize data, produce reports, and present findings. Leverage advanced data and automation tools to improve efficiency and depth of analysis.
• Organization & Multitasking: Manage multiple priorities effectively, meet deadlines in a fast-paced environment, and maintain well-organized records of data and analyses.

Key Requirements

• Education: Recent graduate with a degree in Engineering, Data Science, Mathematics, or a related field.
• Technical skills: Strong proficiency in Microsoft Excel and the broader Microsoft Office suite. Proficiency in a programming language and familiarity with automation tools, APIs, or low-code/no-code platforms is beneficial.
• Analytical capability: Comfortable working with data and translating analysis into practical outputs for business stakeholders. Strong attention to detail.
• Communication: Strong written and verbal communication skills, with the ability to present findings clearly and professionally.
• Personal attributes: Proactive, eager to learn, well-organized, and able to perform well under pressure.
• UAE National only

Why Join Us

• Learning and development: Learn from experienced risk engineering professionals and gain exposure to major regional and global clients in the Energy and Power sector.
• Career progression: A unique development path with potential growth into more senior technical, analytics, technology, or client‑facing roles.

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, 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 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.