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 commitment to innovation.
- 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 a change agent in a fast-paced environment and shape the future of retail technology.
- 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.
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 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.
Currys Career Opportunities: Senior Analytics Engineer employer: Currys
At Currys, we pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued. As a Senior Analytics Engineer in our London Campus, you'll be at the forefront of innovative AI and automation initiatives, with ample opportunities for professional growth and development. Join us to not only advance your career but also contribute to meaningful projects that positively impact both our customers and the planet.
StudySmarter Expert Advice🤫
We think this is how you could land Currys Career Opportunities: Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Currys on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by diving deep into Currys' recent projects, especially around AI and automation. Show us you’re not just interested in the role but also in how you can contribute to their exciting journey.
✨Tip Number 3
Practice your data storytelling skills! Be ready to explain complex data insights in a way that’s easy to understand. Remember, it’s all about making those numbers relatable to both techies and non-techies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Currys Career Opportunities: 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 tell us why you're passionate about analytics and how you can contribute to our ambitious AI and automation goals. Keep it engaging and personal – we love to see your personality come through.
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 want to know how you've tackled challenges in the past. Real-world examples can make a big difference.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you'll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Currys
✨Know Your SQL Inside Out
As a Senior Analytics Engineer, strong SQL skills are crucial. 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.
✨Showcase Your Analytical Thinking
Be prepared to demonstrate your analytical thinking and problem-solving abilities. Think of a few scenarios where you've identified trends or anomalies in data and how you approached solving those issues.
✨Communicate Clearly with Examples
Excellent communication skills are essential for this position. Practice explaining complex data stories in simple terms, as you'll need to present findings to both technical and non-technical audiences. Use examples from your past work to illustrate your points.
