At a Glance
- Tasks: Transform complex data into actionable insights for supplier management and performance.
- Company: Join Homeprotect, a leader in the insurance industry with a focus on innovation.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career advancement.
- Why this job: Make a real difference by influencing decision-making through data analysis.
- Qualifications: Strong analytical skills and experience in data reporting and stakeholder engagement.
The predicted salary is between 50000 - 55000 £ per year.
Homeprotect is seeking a Data & Decisioning Manager to provide data insight and reporting for the Home Claims function, focusing on Verisk supplier management.
You will turn complex operational data into clear intelligence to help leadership manage supplier performance and indemnity spend.
You will collaborate with Supply Chain, Claims Operations and Finance, bringing rigour and curiosity to analysis and presenting findings to stakeholders at all levels.
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Data & Decisioning Manager — Insurance Ops employer: Homeprotect Home Insurance
Homeprotect Home Insurance is an excellent employer, offering a dynamic work environment in Sheffield where you can thrive as a Desktop Claims Adjuster. With a strong focus on employee growth and satisfaction, we provide comprehensive benefits and flexible working options that cater to your lifestyle, ensuring you feel valued and supported in your role. Join us to be part of a team that prioritises high standards and customer care, making a meaningful impact in the home insurance sector.
Contact Details:
Homeprotect Home Insurance Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data & Decisioning Manager — Insurance Ops
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Homeprotect Home Insurance!
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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 Homeprotect Home Insurance.
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We think you need these skills to ace Data & Decisioning Manager — Insurance Ops
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 Homeprotect Home Insurance, 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 Homeprotect Home Insurance. 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 Homeprotect Home Insurance
✨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 Homeprotect Home Insurance!
✨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.
