At a Glance
- Tasks: Transform raw data into trusted datasets and build interactive dashboards for analytics.
- Company: Join Currys, the UK's leading tech retailer with a passion for amazing technology.
- Benefits: Ongoing training, career development, and a chance to make a real impact.
- Other info: Inclusive culture that values every voice and offers excellent growth opportunities.
- Why this job: Be part of an ambitious AI shift in retail and shape the future of technology.
- Qualifications: Strong SQL skills and experience in analytics engineering required.
The predicted salary is between 40000 - 48000 £ per year.
Role overview: Analytics Engineer
Waterloo - Hybrid Working
Full Time Permanent Grade 4
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.
Role overview:
- 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 visualizations 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 Omni, 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:
- 2-4 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.
Currys Career Opportunities: Analytics Engineer employer: Currys
At Currys, we pride ourselves on being a leading tech retailer that fosters a collaborative and inclusive work environment. Our commitment to employee growth is evident through ongoing training and development opportunities, allowing you to shape your career while contributing to meaningful projects in AI and automation. Located in Waterloo, our hybrid working model ensures flexibility, enabling you to balance your professional and personal life effectively.
StudySmarter Expert Advice🤫
We think this is how you could land Currys Career Opportunities: Analytics Engineer
✨Tip Number 1
Get to know the company inside out! Research Currys, their values, and recent projects. This way, when you chat with them, you can show off your knowledge and passion for what they do.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral!
✨Tip Number 3
Prepare for interviews by practising common questions and showcasing your SQL and analytics skills. Use real-life examples from your experience to demonstrate how you can tackle the challenges they face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Currys team.
We think you need these skills to ace Currys Career Opportunities: Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Analytics Engineer role. Highlight your SQL expertise, dbt experience, and any relevant projects that showcase your analytical thinking.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about technology and how you can contribute to our ambitious AI and automation goals. Be genuine and let your personality shine through!
Showcase Your Projects:If you've worked on any data projects, whether in a professional or personal capacity, include them in your application. We love seeing real examples of your work, especially if they demonstrate your problem-solving skills.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people!
How to prepare for a job interview at Currys
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex data transformations, CTEs, and window functions. Practising some real-world scenarios can help you articulate your thought process during the interview.
✨Familiarise Yourself with dbt
Since this role heavily involves dbt, it’s crucial to understand its functionalities and best practices. Consider building a small project using dbt to showcase your skills and understanding of modern analytics engineering tools.
✨Prepare for Data Quality Discussions
Expect questions around data quality tests and monitoring. Think about how you’ve implemented these in past roles and be ready to share specific examples. This will demonstrate your commitment to accuracy and reliability in analytics.
✨Showcase Your Communication Skills
As an Analytics Engineer, you'll need to present findings to both technical and non-technical audiences. Prepare to explain complex data stories clearly and concisely. Practising with friends or colleagues can help you refine your delivery.
