At a Glance
- Tasks: Analyse data to drive business decisions and support performance across teams.
- Company: Established insurance organisation with a collaborative and flexible culture.
- Benefits: Competitive salary, hybrid working, annual bonus, and 25 days leave.
- Other info: Great opportunities for professional development in a growing data function.
- Why this job: Make an impact by turning complex data into actionable insights.
- Qualifications: Experience as a Data Analyst with strong SQL and BI tool skills.
The predicted salary is between 45000 - 55000 £ per year.
Location: Kent (Hybrid - 3 days per week in office)
Industry: Insurance
Salary: £45,000 – £55,000 DOE
The Opportunity
I’m currently working with a well-established insurance organisation based in Kent, that is looking to add a Data Analyst to their growing team. This is an excellent opportunity for someone who enjoys working with data to drive business decisions within a regulated environment. You’ll play a key role in supporting data-led decision-making across underwriting, claims and business operations. You’ll be working closely with teams across underwriting, finance, risk and operations to turn complex datasets into clear, actionable insights that support performance, risk management and customer outcomes. My client offers a collaborative environment, a flexible hybrid working model and strong opportunities for professional development as they continue to invest in their data capabilities.
Key Responsibilities
- Analyse and interpret large datasets to identify trends, risks and opportunities for business improvement.
- Develop and maintain dashboards and reports to support underwriting, claims and operational performance.
- Work with stakeholders across the organisation to gather data requirements and deliver reporting solutions.
- Support the development and maintenance of data pipelines, ensuring data accuracy, consistency and integrity.
- Assist with ad-hoc analysis and reporting requests from senior stakeholders.
- Contribute to the enhancement of analytics tools, reporting frameworks and data governance processes.
Essential Skills & Experience
- Proven experience working as a Data Analyst (experience within insurance or a regulated industry is highly beneficial).
- Strong SQL skills for querying and manipulating datasets.
- Experience using Power BI, Tableau, or similar BI tools to build dashboards and visualisations.
- Working knowledge of Python for data analysis and manipulation.
- Experience working with cloud platforms such as Azure or AWS.
Desirable Skills
- Understanding of insurance data, including underwriting, claims or policy data.
- Familiarity with regulatory reporting and data governance within financial services.
- Knowledge of ETL processes and data warehousing concepts.
- Strong communication skills with the ability to present insights to non-technical stakeholders.
Package & Benefits
- £45,000 - £55,000 salary (DOE)
- Hybrid working - 3 days per week in the Kent office
- Annual performance bonus
- Pension contribution
- 25 days annual leave plus bank holidays
- Ongoing training and professional development opportunities
- Opportunity to contribute to a growing and evolving data function
Data Analyst in Stoke-on-Trent employer: Oscar
Join a well-established insurance organisation in Kent that values collaboration and professional growth. With a flexible hybrid working model, competitive salary, and a commitment to ongoing training, this company offers a supportive environment where you can thrive as a Data Analyst. You'll have the opportunity to make a meaningful impact by turning complex data into actionable insights while enjoying a strong work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Stoke-on-Trent
✨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 Oscar!
✨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 Data Analyst at Oscar.
✨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 Oscar.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Oscar, 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 Data Analyst in Stoke-on-Trent
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 Oscar, 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 Oscar. 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 Oscar
✨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 Oscar!
✨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.
