Graduate Data Analyst
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
You will be relied upon to support UK & Global - Marine, Cargo & Logistics broking teams by producing timely, validated analytics and operating AI enabled workflows that help to deliver superior client outcomes, aligning standards across the Marsh Marine network.
What can you expect?
- You will be working at the cutting edge of the industry for one of the leaders in the field.
- You will be a key member of the Marine Data & Analytics team during a period of rapid modernisation of core working processes and unrivalled opportunity to uncover insight from information collected from clients, insurers and broker trading activities.
- This will be supported with access to and exploration of emerging marine/logistics industry relevant tools from third party vendors to support adoption of digital first solutions.
- You will be encouraged to undertake additional training to support your role, including but not limited to a Multiverse delivered data apprenticeship qualification.
We will rely on you to:
- Be a trusted custodian of the Target Operating Model (TOM) for Data & Analytics projects as defined by the core Marine Data & Analytics projects implementation team in consultation with technical Centres of Excellence across the wider Marsh group.
- Monitor the inflow of key documentation and data feeds. Underpinned by a willingness to intervene where necessary, coach local/international contacts to facilitate effective relationships and prioritize co-operative problem solving wherever practicable.
- Act as a first line of contact for marine vessel screening and other analytical queries, escalating to appropriate colleagues and senior management as required.
- Take on “Super User” responsibilities for dashboards/platforms that are developed in conjunction with internal/external dedicated teams and providers.
- Develop and test dashboards for broader business use. Gather feedback for enhancements and contribute to discussions regarding the product development roadmap.
- Collaborate with other data/analytics teams across the Marsh business to uncover opportunities to establish best practices wherever attainable.
Requirements
Do you have experience in Tableau?, * Educated to degree level in a Business, Scientific or Mathematical relevant subject area. Alternatively, equivalent demonstrable analytics experience or certifications (e.g. Coursera/Datacamp, Microsoft/PowerBI) will be considered.
- Proficiency across all standard Microsoft Office suite products with an emphasis on MS Excel and PowerPoint.
- Experience with Data Visualisation tools such as; Qlik/PowerBI/Tableau.
- The ability to adapt rapidly to learn new tools/processes and a proactive approach to continuous improvement.
- A willingness to immerse yourself in the marine insurance sector to underpin your ability to navigate complex activities with curiosity and enthusiasm.
What makes you stand out?
- A rudimentary understanding or interest in the Maritime industry.
- An appreciation for data management/governance principles and basic model/data change control processes.
- A willingness to adopt AI tools to maximise impact on business and super charge learning opportunities.
About the company
Marsh Risk is a business of Marsh (NYSE: MRSH), 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 about Marsh Risk, visit marsh.com, or follow us on LinkedIn and X.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on indeed.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Data Engineer Salary UK
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production
UK Business Culture and Etiquette
Best Companies to work for in London: Top 25 Companies in 2023