At a Glance
- Tasks: Build and maintain advanced analytics dashboards using Tableau and Databricks.
- Company: Join Ageas, a leading insurance company with a focus on innovation.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Make a real impact by translating data into insights that drive decision-making.
- Qualifications: Experience in analytics and proficiency in Tableau and Databricks required.
The predicted salary is between 56700 - 69300 £ per year.
Ageas is seeking a Senior Pricing Analyst (Analytics) to join the Pricing Transformation team in the UK.
You will build and maintain an advanced analytics dashboarding estate using Tableau and Databricks, translating reporting needs into reliable insights that support trading and decision-making.
You will collaborate with Pricing squads and stakeholders, manage data sources, and explore new analytics techniques to drive improvements across Pricing and Underwriting.
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Senior Pricing Analytics Lead — Hybrid & Flexible in London employer: Ageas
Ageas is an excellent employer that fosters a collaborative and innovative work culture, where employees are empowered to contribute to meaningful projects like large-scale integration programmes. With a strong focus on professional development, you will have ample opportunities for growth and advancement while enjoying the benefits of a supportive team environment in a dynamic industry. Located in a vibrant area, Ageas offers unique advantages such as flexible working arrangements and a commitment to employee well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Pricing Analytics Lead — Hybrid & Flexible in London
✨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 Ageas!
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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 Ageas.
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When you find a suitable opening like Senior Pricing Analytics Lead — Hybrid & Flexible at Ageas, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Pricing Analytics Lead — Hybrid & Flexible 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 Ageas, 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 Ageas. 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 Ageas
✨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 Ageas!
✨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.
