At a Glance
- Tasks: Develop and maintain data models for analytics and business intelligence.
- Company: Join Currys, a leading tech retailer committed to diversity and inclusion.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Make an impact by transforming raw data into trusted insights for decision-making.
- Qualifications: 4+ years in analytics, strong SQL skills, and experience with dbt and BI tools.
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 careers@currys.co.uk and we'll do our best to help.
Senior Analytics Engineer 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. With a strong commitment to employee growth, we provide ample opportunities for professional development and skill enhancement, ensuring that our team members thrive in their careers. Our inclusive environment values every voice, making it a rewarding place to contribute to meaningful projects while enjoying the benefits of a supportive and dynamic workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics field and let them know you're on the hunt for a Senior Analytics Engineer role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best dbt models, dashboards, and any data projects you've worked on. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and analytics concepts. Be ready to discuss your experience with data quality tests and how you've optimised query performance in past roles. Confidence is key!
✨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 at Currys.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your SQL skills and experience with dbt. We want to see how you've tackled complex data transformations and any cool projects you've worked on that relate to analytics engineering.
Show Off Your Projects:Include links to any dashboards or reports you've built, especially if they empower self-service analytics. We love seeing how you communicate complex data stories, so don't hold back!
Be Clear and Concise:When writing your cover letter, get straight to the point. Tell us why you're a great fit for the Senior Analytics Engineer role and how your experience aligns with our needs. We appreciate clarity!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
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 ability to work effectively within a team.
