Analyst Global Data and Analytics Team (full-stack experienceAngularReactMEANSQL ideal)

Marsh Corporate

We are seeking a talented individual to join our Global Data and Analytics Team at Marsk Risk. This role will be based in our Dublin Ireland office. This is a hybrid role that has a requirement of working at least 3 days a week in the office.

What you can expect:

• This role will be responsible for thoroughly understanding existing applications from both technical and business perspectives and documenting requirements through sketches and wireframes. It involves actively participating in business analysis affordability modelling and idea generation while serving as a proactive problem-solver.
• The role requires close collaboration with technical colleagues within Marsk Risks Tech organization and building strong relationships with business stakeholders. Clear communication of complex concepts to stakeholders supporting product backlog and release management providing feature estimates and contributing to improving the teams overall velocity quality and value delivery are also key responsibilities.

We will count on you to:

• Understand existing applications end-to-end from technology and business outcome perspectives
• Collaborate with Product Team to understand the requirements Document requirements using diagrams wireframes and Text as relevant
• Participate in business analysis affordability modelling and idea generation
• Be an active problem-solver
• Collaborate closely with technical colleagues that are part of MMCs Tech organization
• Develop and maintain strong business relationships with the business stakeholders
• Communicate complex concepts in such a way that stakeholders will understand
• Assist manager with product backlogs and release management
• Provide estimates for product features
• Develop code Unit Test fix defects reported resolve technical issues
• Contribute to increasing the teams overall velocity quality and value delivered

What you need to have:

• Strong full-stack development experience with hands-on expertise inAngular or Reactand preferably theMEAN stack
• SolidSQL programmingskills with the ability to work with data to support analysis and decision-making
• Ability totranslate complex technical conceptsinto clear business-friendly language for stakeholders and engineers alike
• Proven track record ofend-to-end product thinking including requirements gathering wireframing feature estimation backlog support and delivery improvement
• Excellent written and spoken communication skills

What makes you standout:

• Working experience in Insurance and Insurance brokerage domain
• Hands on experience with Databricks platform
• Experience of working in a global environment

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 95000 colleagues Marsh helps build the confidence to thrive through the power of perspective. For more information visit 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 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 Traveller community or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable support to any candidate with a disability/health condition to allow them to fully participate in the recruitment process. We welcome candidates to contact us at to discuss any specific needs.

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.