At a Glance
- Tasks: Take charge of non-financial Lloyd’s returns and enhance reporting processes.
- Company: Join G MASS, a dynamic consultancy in the insurance sector.
- Benefits: Competitive salary up to £50k and potential contract extension.
- Other info: Immediate start with opportunities for independent work and process innovation.
- Why this job: Make a real impact by optimising processes and improving data reporting.
- Qualifications: Experience in Lloyd’s reporting and strong data analysis skills required.
The predicted salary is between 45000 - 50000 £ per year.
G MASS is looking for an experienced consultant to support its non-financial Lloyd’s returns activity during an immediate resource gap, while also improving and strengthening the underlying process. The role requires someone who can start quickly, operate independently, and bring both Lloyd’s reporting knowledge and strong data analysis capability.
Key Purpose of the Role
- Provide immediate cover for non-financial Lloyd’s returns work
- Ensure July/August returns are completed effectively.
- Improve, rebuild, and optimize current processes rather than only maintaining them.
Key Responsibilities
- Take ownership of non-financial Lloyd’s returns activity.
- Review current reporting workflows and identify process improvement opportunities.
- Improve fragmented processes and help create a more sustainable operating model.
- Use available data sources, including Excel-based inputs and data dumps, to produce required returns accurately.
- Bring practical recommendations on how the team should work differently going forward.
Qualifications
- Strong experience in non-financial Lloyd’s reporting / Lloyd’s returns.
- Experience working in Lloyd’s market operations or a similar insurance-market environment.
- Ability to join and contribute without needing foundational training on Lloyd’s.
- Experience working in roles that combine operational delivery with process improvement.
- Strong data analysis capability.
- Comfortable working with imperfect or basic data environments, including Excel data dumps and pivot-table based processes.
- Able to work independently and execute parts of the work directly.
- Able to identify, challenge, and improve inefficient processes.
Length: Initial 3-month contract, with a view to being extended
Salary: up to 50k, depending on experience
Lloyd's Data Returns Analyst employer: G MASS
G MASS is an exceptional employer that values innovation and efficiency, offering a dynamic work culture where employees can thrive. With a focus on professional growth, the company provides opportunities for skill enhancement and process optimisation, making it an ideal place for those looking to make a meaningful impact in the Lloyd's market. Located in a vibrant area, G MASS fosters collaboration and independence, ensuring that every team member can contribute effectively while enjoying a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lloyd's Data Returns Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the Lloyd's market and let them know you're on the hunt for opportunities. A friendly chat can lead to insider info about roles that might not even be advertised yet.
✨Tip Number 2
Get your hands dirty with data! Brush up on your Excel skills and practice analysing data sets. The more comfortable you are with data analysis, the better you'll stand out when discussing your capabilities during interviews.
✨Tip Number 3
Show off your process improvement chops! Prepare examples of how you've optimised workflows in the past. Being able to demonstrate your ability to enhance efficiency will make you a hot commodity for roles focused on improving operations.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. By applying directly, you’ll ensure your application gets the attention it deserves, and you might just find the perfect fit for your skills.
We think you need these skills to ace Lloyd's Data Returns Analyst
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your experience with non-financial Lloyd’s reporting in your application. We want to see how your background aligns with the role, so don’t hold back on those relevant skills!
Be Process-Oriented:Since we’re looking for someone who can improve and optimise processes, share examples of how you've done this in the past. We love seeing practical recommendations that show you can think critically about workflows.
Data is Key:Your data analysis skills are crucial for this role. Include specific instances where you've worked with Excel data dumps or similar environments, and how you’ve turned that data into actionable insights.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at G MASS
✨Know Your Lloyd's Inside Out
Make sure you brush up on your knowledge of Lloyd’s reporting and returns. Familiarise yourself with the specific processes and requirements, as this will show that you’re ready to hit the ground running and can operate independently from day one.
✨Showcase Your Data Skills
Prepare to discuss your experience with data analysis, especially in Excel. Bring examples of how you've used data to improve processes or solve problems in previous roles. This will demonstrate your capability to handle the data-heavy aspects of the job.
✨Be Process Improvement Savvy
Think about past experiences where you’ve identified inefficiencies and implemented changes. Be ready to share specific examples of how you’ve optimised workflows or improved operational models, as this aligns perfectly with what they’re looking for.
✨Demonstrate Independence and Initiative
Since the role requires someone who can work independently, prepare to discuss times when you’ve taken ownership of a project or task. Highlight your ability to execute work directly and how you’ve successfully managed your time and resources without constant supervision.
