At a Glance
- Tasks: Extract, analyse, and interpret claims data to drive insights and operational improvements.
- Company: Acrisure, LLC - a forward-thinking tech insurance company in the UK.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a dynamic team and make a real impact on data-driven decision-making.
- Qualifications: Experience with SQL, Excel, Python, and a passion for data analysis.
The predicted salary is between 35252 - 43086 £ per year.
Acrisure, LLC in the United Kingdom is seeking a Data Analyst to support the development of a data-driven claims function within Tech Insurance Operations. The role focuses on extracting, analysing, reconciling, and interpreting claims data to inform operational oversight, reserving, TPA performance, underwriting feedback, and portfolio profitability.
You will work with TPAs and internal teams, using SQL, Excel, Python, and Azure Databricks to transform data into actionable insights that drive.
Claims Data Analyst, Tech Insurance Operations employer: Acrisure, LLC
Acrisure is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration. With a strong focus on employee growth, we provide numerous opportunities for professional development within the rapidly evolving Fintech sector. Our entrepreneurial culture encourages creativity and client-centric solutions, making Acrisure a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Claims Data Analyst, Tech Insurance Operations
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Acrisure, LLC.
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We think you need these skills to ace Claims Data Analyst, Tech Insurance Operations
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 Acrisure, LLC, 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 Acrisure, LLC. 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 Acrisure, LLC
✨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!
✨Showcase Your Projects
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 Acrisure, LLC!
✨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.
