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- Tasks: Join our data team as an Analytics Engineer, shaping data assets and delivering insights.
- Company: Be part of a dynamic company in Leeds, focused on cutting-edge data technologies.
- Benefits: Enjoy flexible working with 3 days in the office and opportunities for professional growth.
- Why this job: Work with innovative tools like Snowflake and Azure, making a real impact on data strategies.
- Qualifications: Experience in analytics engineering, proficiency in SQL, and hands-on with dbt required.
- Other info: UK residents only; no sponsorship available.
The predicted salary is between 48000 - 72000 £ per year.
My client is looking for an experienced Analytics Engineer to join their expanding data team. They are looking for someone who can work in their Leeds office 3 days per week. You will work with cutting-edge technologies Snowflake, DBT, Azure and Power BI and have the chance to have ownership over projects and shape data assets.
As an Analytics Engineer, you'll collaborate with teams to design and deliver scalable data models that unlock insights across customer, product, and operational domains.
Requirements:
- Proven experience in analytics engineering or BI/data roles with a focus on data modelling and transformation.
- Proficiency in SQL and cloud data platforms like Snowflake or Azure Synapse Analytics.
- Hands-on experience with dbt for developing, testing, and documenting transformations.
- Strong communication skills.
- Ability to build scalable, high-quality systems.
Please Note: This role is for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
Analytics Engineer employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Snowflake, DBT, and Azure. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to mastering these tools.
✨Tip Number 2
Network with professionals in the analytics engineering field, especially those who work with the technologies listed. Attend meetups or webinars to connect with potential colleagues and learn about industry trends that could give you an edge.
✨Tip Number 3
Prepare to discuss your previous projects in detail during interviews. Be ready to explain how you've used data modelling and transformation to solve real-world problems, showcasing your ability to deliver scalable solutions.
✨Tip Number 4
Practice your communication skills, as they are crucial for this role. Engage in mock interviews or discussions with peers to refine your ability to articulate complex technical concepts clearly and effectively.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics engineering and BI/data roles. Emphasise your proficiency in SQL, cloud data platforms like Snowflake or Azure, and your hands-on experience with dbt.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data modelling and transformation. Mention specific projects where you've successfully built scalable systems and how you can contribute to the company's data team.
Showcase Communication Skills: In your application, provide examples of how you've effectively collaborated with teams. Strong communication skills are essential for this role, so highlight any relevant experiences that demonstrate your ability to convey complex information clearly.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for an Analytics Engineer.
How to prepare for a job interview at Tenth Revolution Group
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and your experience with cloud data platforms like Snowflake or Azure. Be prepared to discuss specific projects where you've used these technologies, as this will demonstrate your hands-on experience.
✨Discuss Data Modelling Experience
Since the role focuses on data modelling and transformation, come ready to talk about your previous work in these areas. Share examples of how you've designed scalable data models and the impact they had on unlocking insights for your team.
✨Emphasise Communication Skills
Strong communication skills are essential for this role. Prepare to discuss how you've collaborated with different teams in the past, and be ready to explain complex technical concepts in a way that non-technical stakeholders can understand.
✨Prepare Questions About the Company
Research the company and prepare thoughtful questions about their data strategy and the technologies they use. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
