At a Glance
- Tasks: Dive into data to improve insurance pricing and assess risk creatively.
- Company: Join Hastings Direct, a fast-growing digital insurance provider.
- Benefits: Enjoy competitive pay, flexible working, and a supportive environment.
- Other info: Inclusive workplace with opportunities for growth and mentorship.
- Why this job: Make a real impact with your analytical skills in a dynamic team.
- Qualifications: Experience with Python, SQL, or R; strong numerical problem-solving skills.
The predicted salary is between 40000 - 50000 £ 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.
- 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.
- Screening call to explore your skills and experience
- Technical case study, followed by panel interview
Regrettably, we're not in a position to offer visa sponsorship for these roles, either now or in the foreseeable future.
As a Disability Confident employer, we’re committed to ensuring our recruitment processes are fully inclusive – what this means to you is if you’re applying for a job with us, you’ll have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme (DCS).
Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status.
Please also note that we have a thorough referencing process, which includes credit and criminal record checks.
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.
Senior Data Analyst in Bexhill-on-Sea employer: Hastings Direct
Hastings Direct is an exceptional employer that fosters a dynamic and inclusive work culture, where data-driven professionals can thrive. With opportunities for personal and professional growth, employees are encouraged to explore innovative solutions in a fast-paced environment while enjoying a comprehensive benefits package and a commitment to diversity. The hybrid working model in Leicester or Bexhill allows for flexibility, ensuring a healthy work-life balance as you contribute to meaningful projects that impact the insurance landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Bexhill-on-Sea
✨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 Direct!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst at Hastings Direct.
✨Leverage Professional Networks
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 Direct.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at Hastings Direct, 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 Data Analyst in Bexhill-on-Sea
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 Direct, 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 Direct. 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 Direct
✨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 Direct!
✨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.
