At a Glance
- Tasks: Transform raw data into trusted datasets and build interactive dashboards.
- Company: Join Currys, a leading tech retailer with a focus on innovation.
- Benefits: Enjoy a competitive salary, flexible working, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace committed to your success.
- Why this job: Make an impact by turning data into insights that drive business decisions.
- Qualifications: 4+ years in analytics, strong SQL skills, and experience with dbt.
The predicted salary is between 55000 - 65000 € per year.
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 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.
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 and we'll do our best to help.
Senior Analytics Engineer in London employer: Currys Ltd
At Currys, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation at our London Campus in Waterloo. As a Senior Analytics Engineer, you will benefit from continuous professional development opportunities, a commitment to diversity and inclusion, and the chance to work with cutting-edge technologies in a supportive environment that values your contributions and encourages growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Currys or in the analytics field on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your dbt models, dashboards, and any cool projects you've worked on. This will help us see your practical experience and creativity.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and data modelling knowledge. We love candidates who can confidently discuss their approach to complex data transformations and problem-solving.
✨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 Senior Analytics Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Analytics Engineer. Highlight your SQL skills, dbt experience, and any relevant projects that showcase your ability to transform raw data into trusted datasets.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've optimised query performance or collaborated with cross-functional teams in the past.
Showcase Your Analytical Skills:In your application, don’t forget to mention your experience with exploratory data analysis and how you've used it to identify trends and patterns. We love seeing how you can turn complex data into clear insights!
Apply Through Our Website:We encourage you to apply through our website for a smoother 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 Currys Ltd
✨Master Your SQL Skills
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.
✨Showcase Your dbt Expertise
Since this role heavily involves dbt, be ready to talk about your experience with it. Prepare examples of how you've used dbt to create reliable datasets and any challenges you faced while implementing data quality tests. This will demonstrate your hands-on knowledge and problem-solving abilities.
✨Communicate Clearly
You’ll need to present findings to both technical and non-technical audiences, so practice explaining complex data concepts in simple terms. Think of a few examples where you successfully communicated insights and how that impacted decision-making.
✨Collaborate and Connect
This role requires collaboration with cross-functional teams, so be ready to discuss your experience working with others. Share specific instances where you translated business requirements into technical solutions, and highlight your teamwork skills to show you’re a great fit for their culture.
