At a Glance
- Tasks: Analyse data to drive business decisions and create impactful insights.
- Company: Join esure Group, a leader in revolutionising the insurance industry.
- Benefits: Competitive salary, flexible benefits, and generous annual leave.
- Why this job: Shape the future of insurance with data-driven solutions and innovative technology.
- Qualifications: Passion for data, proficiency in SQL and Python, and strong analytical skills.
- Other info: Flexible working options and a commitment to diversity and inclusion.
The predicted salary is between 28800 - 48000 £ per year.
Ready to join a team that\’s leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good!
We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we\’re transforming the way the industry operates and putting customers at the heart of everything we do.
Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future.
Job Description
We are currently recruiting for a Data Analyst to join our Data team. We’re on the lookout for someone who can bring strong analytical and design skills to our projects. In this role, you’ll be responsible for shaping solutions from the ground up – analysing requirements, designing effective approaches, and making sure that every outcome is clear and measurable.
This position offers excellent support for those who are looking to progress into the world of Data Science or Analytical Engineering.
What you’ll do:
- Conduct deep-dive analysis to generate insights that drive business decisions and performance.
- Work closely with collaborators from different departments in cross-functional agile teams.
- Extract, analyse and present data to both technical and non-technical audiences.
- Create and automate business intelligence dashboards, enabling self-serve reporting.
- Define meaningful metrics and KPIs, and build tracking frameworks across teams.
- Partner with product, engineering, AI and data science teams to accelerate development.
- Work with architects to design data products, test new tools, and support ML/AI workflows.
- Ensure data quality, integrity and consistency across multiple sources.
- Thrive in a fast-paced trading environment where insight shapes strategy.
Qualifications
What we’d love you to bring:
- Passion for using data to tell stories, make insight actionable, and influence decisions.
- Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus.
- Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git.
- Skilled in data visualisation with tools such as Tableau or Power BI.
- Confident writing efficient code and troubleshooting sophisticated queries.
- Clear and adaptable communicator, able to explain technical topics to business audiences and translate business needs for product teams.
- Skilled in team collaboration and exhibits good interpersonal skills.
- Able to prioritise, multi-task, and deliver at pace with an iterative mindset.
- Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus.
What’s in it for you?:
- Competitive salary that reflects your skills, experience and potential.
- Discretionary bonus scheme that recognises your hard work and contributions to esure’s success.
- 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday.
- Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances.
- Company funded private medical insurance for qualifying colleagues.
- Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members.
- We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources.
- Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities.
- Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues.
- We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.
- And much more; See a full overview of our benefits here Reward and benefits | Esure Group PLC
We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.
Data Analyst employer: esure Group
Contact Detail:
esure Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at esure Group on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Analyst role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to showcase your analytical thinking and problem-solving abilities with real-world examples. We want to see how you can turn data into actionable insights!
✨Tip Number 3
Don’t forget to highlight your teamwork skills! Since you'll be collaborating with various departments, share examples of successful projects where you worked in cross-functional teams. Show us how you can communicate complex data to non-technical folks.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your enthusiasm for joining our mission to revolutionise insurance for good!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your analytical skills, experience with SQL and Python, and any relevant projects that showcase your ability to extract and present data effectively.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how your skills align with our mission at esure Group. Be sure to mention any experience you have with data visualisation tools like Tableau or Power BI.
Showcase Your Projects: If you've worked on any data projects, whether in a professional setting or as personal endeavours, include them in your application. We love seeing how you've used data to drive decisions and create insights!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at esure Group
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in data visualisation with Tableau or Power BI. Showing that you can extract and present data effectively will impress the interviewers.
✨Understand the Business
Research esure Group and its mission to revolutionise insurance. Familiarise yourself with their products and how data plays a role in enhancing customer experiences. This knowledge will help you tailor your answers and demonstrate your genuine interest in the company.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems using data. Practice explaining your thought process clearly and how you would approach analysing requirements and designing solutions. This will showcase your analytical skills and ability to work in cross-functional teams.
✨Communicate Clearly
Since you'll need to explain technical topics to non-technical audiences, practice simplifying complex concepts. Use examples from your experience to illustrate how you've successfully communicated insights in the past. This will highlight your adaptability and interpersonal skills.