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For Companies At a Glance
- Tasks: Analyse data to drive business decisions and create impactful dashboards.
- Company: Inclusive company that values diversity and innovation.
- Benefits: Competitive salary, flexible leave, private medical insurance, and career development opportunities.
- Why this job: Shape solutions with data and collaborate across teams in a dynamic environment.
- Qualifications: Proficient in SQL and Python; strong analytical and communication skills.
- Other info: Hybrid working options and volunteering days to support local communities.
The predicted salary is between 28800 - 48000 £ per year.
Overview
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.
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.
About us
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, 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.
Benefits
- 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.
- Career development through hands-on training, mentoring, access to academies, and regular career conversations.
- Two volunteering days per year to support local communities.
- Join internal networks and communities to connect, learn, and share ideas with colleagues.
- Hybrid working options to support flexible work arrangements.
- Additional benefits and information available on our rewards and benefits page.
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Data Analyst employer: esure Group PLC
Contact Detail:
esure Group PLC 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 on LinkedIn or at industry events. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. We recommend using real-world examples from your experience to showcase your skills and how you can add value.
✨Tip Number 3
Show off your analytical skills with a portfolio! Create a few projects that highlight your ability to extract insights from data. This will make you stand out when we review your application.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
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 tell us why you're passionate about data and how you can contribute to our team. Share specific examples of how you've used data to drive decisions and make an impact in previous roles.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in data visualisation tools like Tableau or Power BI. If you have experience with modern data platforms or machine learning, make sure to include that too – it’ll definitely catch our eye!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at esure Group PLC
✨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 creating dashboards or automating reports. If you've dabbled in PySpark or SparkSQL, don't forget to mention that too!
✨Showcase Your Analytical Mindset
Prepare examples of how you've conducted deep-dive analyses in previous roles. Think about specific insights you've generated and how they influenced business decisions. This will demonstrate your ability to turn data into actionable stories, which is key for this role.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You might be asked to present data findings to non-technical audiences, so being able to translate your insights into relatable language is crucial. Consider doing a mock presentation to a friend or family member to refine your approach.
✨Emphasise Team Collaboration
This role involves working closely with various teams, so be prepared to discuss your experience in cross-functional settings. Share examples of how you've collaborated with product, engineering, or data science teams to achieve common goals. Highlighting your interpersonal skills will show you're a great fit for their agile environment.