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- Tasks: Lead the design and delivery of a new semantic layer in Looker.
- Company: Join a high-growth consumer business focused on data-driven decisions.
- Benefits: Enjoy a remote-first environment with competitive pay and autonomy.
- Why this job: Make a lasting impact on data usage across teams in a fast-paced setting.
- Qualifications: Advanced experience with Looker, LookML, SQL, and dbt required.
- Other info: 5-month contract with a pay range of £450-£550 per day.
This role offers a great opportunity for an Analytics Engineer to join a fast-scaling digital business undergoing a complete rebuild of its analytics infrastructure. You will play a key role in reshaping how data is modeled, accessed, and used across teams - all with a focus on clarity, consistency, and self-serve analytics. The environment values autonomy, quality, and user-first thinking, with the freedom to shape best practices from the ground up.
This is a high-growth consumer business committed to data-informed decision-making across marketing, operations, product, finance, and customer success. They are currently rebuilding their analytics platform with modern, scalable tools and need a strong contractor to accelerate this transition. Working in a fast-paced, collaborative, and remote-first environment, you will make a lasting impact on how data empowers the organisation.
You will join the data team to lead the design and delivery of a new semantic layer in Looker. You will work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt. You will also play a critical role in shaping the self-serve analytics experience and ensuring the platform is intuitive, documented, and cost-efficient.
Your responsibilities will include:
- Rebuilding LookML models to reflect real-world business processes and logic.
- Designing and implementing dbt models that power clean, consistent metrics.
- Collaborating with business teams to understand reporting needs and deliver intuitive analytics experiences.
- Creating clear documentation for dashboards, metrics, and models.
- Ensuring optimal performance and cost efficiency across Looker and BigQuery.
- Supporting a stakeholder-first approach to data usability and access.
Key Skills and Requirements
- Advanced experience with Looker and LookML, including semantic layer modeling and dashboard design.
- Proficiency in SQL and dbt, with a strong understanding of data modeling best practices.
- Strong communication skills with the ability to translate complex needs into elegant data solutions.
- Focus on usability, documentation, and data clarity.
- Comfortable working independently in a dynamic, fast-changing environment.
Desirable Skills
- Experience rebuilding or refactoring a Looker instance from scratch.
- Familiarity with BigQuery performance tuning and cost optimization.
- Experience scaling analytics across a cross-functional organisation.
Please register your interest by sending your CV via the apply link on this page.
Analytics Engineer - Looker employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer - Looker
✨Tip Number 1
Familiarise yourself with Looker and LookML by exploring online resources and tutorials. This will not only boost your confidence but also help you demonstrate your expertise during discussions with the hiring team.
✨Tip Number 2
Network with current or former employees of the company on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage in your interactions.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully implemented LookML models or optimised analytics processes in previous roles. Real-world scenarios will showcase your problem-solving skills and practical knowledge.
✨Tip Number 4
Stay updated on the latest trends in data analytics and self-serve analytics tools. Being knowledgeable about industry advancements will allow you to contribute fresh ideas and demonstrate your commitment to continuous learning.
We think you need these skills to ace Analytics Engineer - Looker
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Looker, LookML, SQL, and dbt. Emphasise any previous roles where you rebuilt analytics infrastructure or worked in a fast-paced environment.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about data and how your skills align with the company's goals. Mention specific projects where you've successfully implemented data solutions that improved usability and clarity.
Showcase Relevant Projects: If possible, include links to any relevant projects or dashboards you've created using Looker. This will demonstrate your practical experience and ability to deliver intuitive analytics experiences.
Highlight Communication Skills: Since strong communication is key for this role, provide examples of how you've effectively collaborated with stakeholders to translate business needs into data solutions. This could be through past projects or team experiences.
How to prepare for a job interview at Harnham
✨Showcase Your Looker Expertise
Make sure to highlight your advanced experience with Looker and LookML during the interview. Be prepared to discuss specific projects where you've rebuilt LookML models or designed dashboards, as this will demonstrate your hands-on skills and understanding of semantic layer modelling.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex data concepts in simple terms, as you'll need to translate business needs into data solutions. Use examples from your past experiences to illustrate how you've successfully collaborated with stakeholders.
✨Demonstrate Problem-Solving Skills
Be ready to discuss how you've approached challenges in data modelling or analytics. Think of specific instances where you had to optimise performance or ensure cost efficiency, especially in Looker and BigQuery. This will show your ability to think critically and adapt in a fast-paced environment.
✨Prepare Questions About the Company
Research the company and its current analytics infrastructure. Prepare thoughtful questions about their goals for the analytics rebuild and how they envision the role of an Analytics Engineer. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
