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- Tasks: Transform data into insightful reports using Databricks and Power BI.
- Company: Specsavers, a leader in data-driven business transformation.
- Benefits: Competitive salary, flexible working hours, and opportunities for skill development.
- Why this job: Make a real impact by shaping data solutions that drive decision-making.
- Qualifications: Experience in data analytics, SQL, and Power BI is essential.
- Other info: Collaborative environment with opportunities to mentor and grow within the team.
The predicted salary is between 28800 - 48000 £ per year.
Ready to drive data transformation by shaping smarter reporting with Databricks, and Power BI?
Specsavers is on an exciting journey of data transformation. Our vision is to become a truly data-driven business, where data empowers decision-making and delivers real value to everyone.
In this role, you’ll help streamline our reporting processes to support colleagues across support offices and stores who rely on management information reports to make key decisions. You’ll support the transition of these reports to our new platforms, Azure Databricks and Power BI, by moving data flows, building new models, and creating insightful dashboards. You’ll also maintain legacy Excel reporting while guiding its evolution into automated, scalable solutions. Whether its supporting dashboard builds, optimising data flows, or monitoring reports during critical times, including weekend support on a rota, you’ll help ensure our reporting is accurate, timely, and valuable.
You’ll shape reliable, user-friendly reports, transforming raw data into clear insights and advising on visualisation choices that make complex information easy to understand. You’ll mentor colleagues, promote best practices, and drive continuous improvement. Collaboration will be key, as you work with teams across Finance, CI, Technology & Data, and leadership in Audiology, Domiciliary, and Optics to deliver impactful data solutions and build strong, trusted relationships. You’ll also work closely with the Retail Support Team and other business stakeholders to ensure reports and analytics are delivered and embedded successfully.
We’re looking for someone with solid knowledge of data analytics and hands-on experience with the Azure ecosystem and/or Databricks. You’ll be confident using SQL to manipulate, cleanse, and build complex datasets, and experienced with Power BI, particularly Power Query and DAX. Advanced Excel skills, including Power Query, are essential. You’ll deliver analytics solutions that create business value, solve complex data challenges, and help others grow their skills across the team. Your commercial awareness and ability to translate business needs into technical solutions will be key for this role.
This role closes on 30th October 2025; however, we may close the advert sooner if we get inundated with high-quality applications.
We operate seven days a week, so this role also involves data flow monitoring and providing on-call support (mornings only) for one weekend per month on a rota basis.
Ready to turn data into clear reporting that drives real change? Apply now – you’ll be pleased that you did.
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Data Analyst employer: Specsavers
Contact Detail:
Specsavers 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 Specsavers on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Data Analyst role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data visualisation projects, especially those using Power BI and Azure Databricks. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL and Excel skills, focusing on complex datasets and automation. Being able to talk confidently about your technical abilities will impress the hiring team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Specsavers team and contributing to their data transformation journey.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with Azure, Databricks, and Power BI, and don’t forget to showcase your SQL skills. We want to see how you can drive data transformation!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how your skills align with our vision at Specsavers. Let us know how you can help shape smarter reporting!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building dashboards or optimising data flows, we love to see real examples of your work that demonstrate your capabilities.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Specsavers
✨Know Your Tools Inside Out
Make sure you’re well-versed in Azure Databricks, Power BI, and SQL. Brush up on your skills with Power Query and DAX, as these will likely come up during the interview. Being able to discuss specific projects where you've used these tools will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about situations where you transformed raw data into actionable insights or streamlined reporting processes. This will demonstrate your ability to deliver analytics solutions that create real business value.
✨Emphasise Collaboration
Since this role involves working closely with various teams, be ready to discuss your experience in collaborative environments. Share examples of how you’ve built strong relationships with stakeholders and mentored colleagues, highlighting your ability to promote best practices and drive continuous improvement.
✨Be Ready for Technical Questions
Expect some technical questions related to data flows, report monitoring, and Excel functionalities. Practise explaining your thought process clearly and concisely, as this will help you convey complex information in an understandable way, which is crucial for the role.