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
✨Tip Number 1
Network like a pro! Reach out to people in the insurance industry, especially those working as Data Analysts. Use LinkedIn to connect and engage with them; you never know who might have a lead on a job or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your SQL and data visualisation skills. Be ready to discuss how you've used these tools in past roles, and think of examples where your insights made a real impact on business decisions.
✨Tip Number 3
Showcase your analytical prowess by creating a portfolio of your work. Include dashboards, reports, or any projects that highlight your skills in data analysis and visualisation. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s a great way to show your enthusiasm for joining our team!
We think you need these skills to ace Data Analyst in Stoke-on-Trent
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Power BI, and any relevant projects that showcase your data analysis skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your background fits with our insurance environment. Let us know what excites you about this opportunity at StudySmarter.
Showcase Your Skills:Don’t just list your skills; demonstrate them! If you’ve worked on dashboards or data pipelines, mention specific examples. We love seeing how you’ve turned complex datasets into actionable insights in your previous roles.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Oscar
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with Power BI or Tableau. Be ready to discuss how you've used these tools in past projects, as they'll want to see your practical experience in action.
✨Understand the Insurance Landscape
Since this role is within the insurance industry, it’s crucial to have a grasp of how data impacts underwriting and claims. Do some research on current trends in insurance data to show that you’re not just a data whiz but also understand the business context.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems using data. Practice explaining your thought process clearly, as they’ll be looking for your analytical skills and how you approach complex datasets.
✨Communicate Clearly
You’ll need to present insights to non-technical stakeholders, so practice simplifying complex data findings into clear, actionable insights. Think about examples where you’ve successfully communicated data-driven decisions in the past.
