At a Glance
- Tasks: Analyse claims data to create insightful reports and dashboards using Power BI, Excel, and SQL.
- Company: Great Lakes Insurance SE, a leading insurance provider in London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and regulatory compliance.
- Why this job: Make a real impact by transforming complex data into clear insights for decision-making.
- Qualifications: Experience in data analysis, reporting, and proficiency in Power BI, Excel, and SQL.
The predicted salary is between 45000 - 55000 £ per year.
Great Lakes Insurance SE, London Branch, is seeking a data-driven Claims Reporting Analyst to produce accurate MI and support decision making. You will design data models, validate metrics, and create KPI dashboards using Power BI, Excel and SQL, while ensuring data quality and regulatory compliance.
You'll work within the Delegated Authority Claims Team to translate complex claims data into clear insights, support audits, and contribute to data projects and risk-related reporting.
Claims Data Scientist: Insights & Reporting Expert in London employer: Great Lakes Insurance SE
Great Lakes Insurance SE is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the insurance sector. Located in the UK, employees benefit from a comprehensive compensation package, including a generous 25 days of annual leave, private medical insurance, and a contributory pension plan, alongside unique offerings like fully paid 6-month family leave. With a strong focus on employee growth and development, team members are encouraged to engage in meaningful work that contributes to both personal and professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Claims Data Scientist: Insights & Reporting Expert in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Claims Data Scientist: Insights & Reporting Expert in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Great Lakes Insurance SE, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Great Lakes Insurance SE. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Great Lakes Insurance SE
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Great Lakes Insurance SE!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
