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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 innovative data solutions.
- Benefits: Enjoy flexible working with 3 days in the office and access to cutting-edge technologies.
- Why this job: Take ownership of projects and collaborate with teams to make a real impact.
- 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 in these areas, as demonstrating proficiency can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the analytics engineering field, especially those who work with the tools and technologies listed. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those that involved data modelling and transformation. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving abilities and hands-on experience.
✨Tip Number 4
Brush up on your communication skills, as strong communication is a key requirement for this role. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with various teams and stakeholders to deliver insights 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 communicated complex data insights to non-technical stakeholders. This is crucial for the role, so make it clear how you excel in this area.
Highlight Ownership Experience: Discuss any previous experiences where you took ownership of projects. Detail how you shaped data assets and collaborated with teams to deliver impactful results, as this aligns with the responsibilities of the role.
How to prepare for a job interview at Tenth Revolution Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Snowflake, and Azure Synapse Analytics. Bring examples of past projects where you used these technologies, and be ready to explain your approach to data modelling and transformation.
✨Demonstrate Your Problem-Solving Abilities
Analytics Engineers often face complex challenges. Prepare to discuss specific problems you've solved in previous roles, particularly those involving data models or transformations. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this role. Practice explaining technical concepts in simple terms, as you'll need to collaborate with various teams. Consider how you can convey your ideas clearly during the interview.
✨Prepare Questions About the Company and Role
Show your interest in the position by preparing thoughtful questions about the company's data strategy, team dynamics, and the specific projects you might work on. This demonstrates your enthusiasm and helps you assess if the role is a good fit for you.
