At a Glance
- Tasks: Transform raw data into trusted datasets and build interactive dashboards.
- Company: Join Currys, the UK's leading tech retailer with a passion for amazing technology.
- Benefits: Career development, ongoing training, and a chance to make a real impact.
- Other info: Inclusive culture that values every voice and offers excellent career growth.
- Why this job: Be a change agent in a fast-moving business and shape the future of retail.
- Qualifications: 4+ years in analytics, strong SQL skills, and experience with dbt and BI tools.
The predicted salary is between 55000 - 65000 £ per year.
At Currys we’re united by one passion: to help everyone enjoy amazing technology. As the UK’s best‑known retailer of tech, we’re proud of the service our customers receive – and it’s all down to our team of 25,000 caring and committed colleagues. Working as one team, we learn and grow together, celebrating the big and small moments that make every day amazing.
Currys is in the middle of one of the most ambitious AI and automation shifts in UK retail. We are rethinking how customers discover and buy technology, how stores operate, how supply chains move, and how colleagues do their best work. We’re reshaping how the business trades, plans and serves. The AI & Monetisation function is where the boldest bets get placed. The squad you join is greenfield, built around a real business domain, and backed by senior sponsorship. You will own that domain end to end, set the roadmap with the stakeholders who run it, and ship products that move the numbers in the P&L. These problems are genuinely hard: optimising stock availability, automating complex operating processes, putting useful AI into the hands of frontline colleagues, and monetising the audience and data we already have. You will be a change agent in a business moving fast and willing to back people who can move with it.
Responsibilities
- Develop and maintain dbt models that transform raw data into trusted datasets for analytics and business intelligence
- Implement data quality tests and monitoring to ensure accuracy and reliability
- Optimise query performance using effective data modelling and materialisation strategies
- Establish and maintain documentation and data dictionaries for analytical models, KPI definitions and metrics frameworks
- Support self‑service analytics by building reusable, high‑quality data models
- Collaborate with cross‑functional teams to translate business requirements into technical solutions
- Collaborate with data engineers to define requirements for new data sources and pipelines
- Conduct exploratory data analysis to identify trends, patterns, and anomalies in business performance
- Build interactive dashboards and reports that empower self‑service analytics
- Design visualisations that clearly communicate complex data stories to both technical and non‑technical audiences
What you’ll bring
- Strong SQL skills with experience in complex data transformations, CTEs, and window functions
- Expertise with dbt and modern analytics engineering tools
- Solid understanding of dimensional modelling and data warehousing concepts
- Experience with Git‑based workflows for version control and collaboration for analytics
- Knowledge of data testing frameworks and quality assurance practices
- Experience with Snowflake, Databricks, or similar data platforms
- Proficiency in Looker or similar BI tools (Tableau, Power BI)
- Strong analytical thinking and problem‑solving abilities
- Excellent communication skills with ability to present findings to diverse audiences
Experience required
- 4+ years of experience in a data analyst or analytics engineer role
- Degree in Computer Science, Analytics, or a related technical field highly desirable
- dbt & Analytics platform certification beneficial
Why join us
Join our team and we’ll be with you every step of the way, helping you develop the career you want with new opportunities, on‑going training and skills for life. Not only can you shape your own future, but you can help take charge of ours too. As the biggest recycler and repairer of tech in the UK, we’re in a position to make a real impact on people and the planet. Every voice has a space at our table and we’re committed to making inclusion and diversity part of everything we do, including how we strengthen our workforce. We want to make sure you have a fair opportunity to show us your talents during our application process, so if you need any additional assistance with your application please email careers@currys.co.uk and we’ll do our best to help.
Senior Analytics Engineer employer: Currys PLC
At Currys, we pride ourselves on being a leading tech retailer that fosters a collaborative and inclusive work environment. Our London Campus at Waterloo is not just a workplace; it's a hub for innovation where you can contribute to groundbreaking AI and automation projects while enjoying comprehensive training and career development opportunities. Join us to be part of a team that values every voice and is committed to making a positive impact on both our customers and the planet.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Currys. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repo showcasing your dbt models and analytics projects. This gives us a tangible way to see what you can do beyond your CV.
✨Tip Number 3
Prepare for the interview by diving deep into Currys' recent AI initiatives. Being knowledgeable about our projects shows you're genuinely interested and ready to contribute.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re keen on joining our team and being part of our exciting journey.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Analytics Engineer role. Highlight your SQL skills, experience with dbt, and any relevant projects that showcase your analytical thinking. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about analytics and how you can contribute to our ambitious AI and automation goals. Let us know what excites you about working at Currys and how you can help us make an impact.
Showcase Your Projects:If you've worked on any interesting data projects, don’t hesitate to mention them! Whether it's building dashboards or optimising data models, we love seeing real examples of your work. This helps us understand your problem-solving abilities and technical skills.
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 ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Currys PLC
✨Know Your SQL Inside Out
As a Senior Analytics Engineer, you'll need to showcase your strong SQL skills. Brush up on complex data transformations, CTEs, and window functions. Be ready to discuss specific examples of how you've used these skills in past projects.
✨Familiarise Yourself with dbt
Since dbt is a key tool for this role, make sure you understand its functionalities and best practices. Prepare to talk about your experience with dbt models and how you've implemented data quality tests in your previous roles.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of data warehousing concepts and dimensional modelling. Practice explaining these concepts clearly, as you'll need to communicate effectively with both technical and non-technical audiences.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you've tackled complex problems in your previous roles. Think of specific examples where you've optimised query performance or built interactive dashboards that empowered self-service analytics. This will demonstrate your analytical thinking and problem-solving abilities.
