At a Glance
- Tasks: Shape the future of reporting and analytics in a dynamic MI team.
- Company: Join a well-known Lloyds syndicate in the heart of London.
- Benefits: Competitive salary, great location, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in the insurance market.
- Why this job: Make a real impact on strategic decision-making through data insights.
- Qualifications: Strong SQL and Excel skills, with experience in MI or data analysis.
The predicted salary is between 50000 - 60000 £ per year.
A well known Lloyds syndicate are looking for an MI Analyst to join their growing Management Information team in London. This is an exciting opportunity to help shape the future of reporting and analytics across the business, supporting strategic decision-making through high quality management information and data insights. Working closely with stakeholders across underwriting and business functions, you will play a key role in developing management information, enhancing reporting capabilities, and delivering meaningful analysis that drives business performance.
Essential Skills & Experience
- Strong SQL skills with experience querying relational databases.
- Experience developing reports and dashboards using Power BI (or similar tools such as Tableau or Qlik).
- Advanced Excel skills, including functions such as VLOOKUP and SUMIF.
- Confidence communicating with and supporting non‑technical stakeholders.
- Minimum 3 years’ experience in an MI, reporting, or data analysis role.
Desirable Skills
- Knowledge of Power Query
- Understanding of Data Governance principles
- Experience within the London Insurance Market
- Degree in Mathematics or another numerate discipline
Remuneration and Logistics
- Salary: £50,000 – £60,000 per annum
- Start Date: ASAP, up to 4 week notice period
- Location: Central London, EC3V
- Contract Length: 12 months
MI Analyst - 12 Month FTC employer: Arthur
Join a prestigious Lloyds syndicate in the heart of London, where you will be part of a dynamic Management Information team dedicated to driving strategic decision-making through insightful data analysis. With a strong emphasis on employee development and a collaborative work culture, this role offers not only competitive remuneration but also the opportunity to enhance your skills in a thriving environment that values innovation and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land MI Analyst - 12 Month FTC
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Arthur before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Arthur.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Arthur.
We think you need these skills to ace MI Analyst - 12 Month FTC
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Arthur, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Arthur, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Arthur’s attention and show the tangible impact of your work.
How to prepare for a job interview at Arthur
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Arthur.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Arthur.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Arthur.
