At a Glance
- Tasks: Dive into data to improve insurance pricing and assess risk creatively.
- Company: Hastings Direct, a forward-thinking company focused on data-driven solutions.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Mentorship opportunities available for aspiring analysts in a dynamic environment.
- Why this job: Make a real impact by transforming data insights into business strategies.
- Qualifications: Experience with Python, SQL, or R; strong analytical skills required.
The predicted salary is between 37800 - 46200 £ per year.
Hastings Direct have a number of exciting opportunities for curious, creative and data-driven characters to dive into Insurance Pricing - identifying opportunities to improve how we assess risk to give a fairer price to our customers and thinking laterally about how we approach our work.
However far we delve into the data, we feel it's important to keep sight of the bigger picture.
We're looking for people who are comfortable and confident with numerical and statistical information, that are able to explain what they are seeing with a range of detail.
We'd love it if you knew your way around an analytical programming environment, whether that be Python, SQL, R or any other language/toolkit that you use to solve problems, find solutions and provide actionable insight.
How you'll make a difference
- You will be at the forefront of developing and evolving sophisticated, segmented pricing across our insurance products.
- You'll be exploring a vast data landscape, with all the visibility, ownership and opportunity to see your work evolve into real business impact.
- Everything we do starts and ends with data, whether that be drawing insights, exploring new ways of how we use it or finding value to change it.
- You'll be collaborating with other areas of our Pricing Data & Analytics teams to bring new data sources to life., At Hastings Direct, we're committed to creating an inclusive environment where everyone has the opportunity to succeed.
If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us.
Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.
You have experience using Python, SQL or R and have seen projects through from start to finish in a fast moving, data focussed environment.
- You're curious when it comes to data, and comfortable tackling numerical and statistical problems.
- You'll enjoy mentoring and developing talented Graduate & Junior Analysts.
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Senior Data Analyst employer: Hastings Insurance Services Limited
Hastings Direct is an exceptional employer that prioritises employee development and innovation in the rapidly evolving fields of AI and digital skills. With a collaborative work culture that encourages creativity and continuous learning, employees benefit from tailored career frameworks and opportunities to engage in impactful projects. Located in a dynamic environment, team members are empowered to make meaningful contributions while enjoying a supportive atmosphere that values their growth and well-being.
Contact Details:
Hastings Insurance Services Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨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 Hastings Insurance Services Limited!
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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 Hastings Insurance Services Limited.
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We think you need these skills to ace Senior Data Analyst
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 Hastings Insurance Services Limited, 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 Hastings Insurance Services Limited. 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 Hastings Insurance Services Limited
✨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 Hastings Insurance Services Limited!
✨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.
