At a Glance
- Tasks: Design and build data models, dashboards, and analytics to drive business insights.
- Company: Join a Google-partnered consultancy leading the way in modern data solutions.
- Benefits: Enjoy a 4-day work week, generous holiday allowance, and remote work flexibility.
- Why this job: Be part of a collaborative culture where your ideas truly matter and make an impact.
- Qualifications: Strong experience with Looker, SQL, and cloud environments; excellent communication skills required.
- Other info: Opportunity to work on high-profile projects with cutting-edge tools.
The predicted salary is between 36000 - 60000 £ per year.
Are you a data-driven thinker with a passion for building scalable, insightful solutions? Want to join a remote-first company where innovation, flexibility, and professional growth are part of everyday life? We’re representing a Google-partnered data consultancy going through an exciting period of growth following a string of recent client wins. To support their expanding project portfolio, we’re looking for an experienced Senior Data Analyst to help them deliver top-tier data solutions that make a real impact.
About The Client
As a specialist consultancy at the forefront of the modern data stack, they help businesses unlock the full value of their data using the best cloud-native tools — with a strong focus on SQL, Looker, LookML, and Google Cloud Platform. Collaboration and trust are at the heart of how we work, and we’re proud to foster a remote-first culture where your ideas and contributions are truly valued.
Your Role
As a Senior Data Analyst, you’ll work hand-in-hand with Data Engineers and their Development Lead to design and build powerful data models, insightful dashboards, and business-focused analytics. This role goes beyond crunching numbers — you’ll be embedded in our client teams, helping define requirements, shape strategy, and deliver meaningful insights.
You’ll be responsible for:
- Building and maintaining semantic data models in Looker/LookML that support scalable, reusable business logic.
- Writing clean, high-performance SQL to support data transformation and reporting.
- Working closely with Data Engineers to ensure smooth data pipeline operations and integrations.
- Translating business needs into technical solutions that deliver real value.
- Supporting dashboard creation and analytics tools to provide clear, actionable insights.
- Promoting data quality, governance, and best practices in all things analytics.
What We’re Looking For
We’re looking for someone who combines technical depth with strong communication, and who thrives in a collaborative, remote working environment. Must-haves:
- Strong experience with Looker and deep understanding of LookML (especially semantic modelling).
- Excellent SQL skills — you’re comfortable working with complex queries and large datasets.
- Experience working in a cloud-based environment (ideally GCP, but AWS/Azure experience also valued).
- A proactive, problem-solving mindset and the ability to work independently.
- Previous experience collaborating with cross-functional technical teams (e.g. engineers, developers).
What You’ll Get in Return
We believe in creating a workplace that rewards hard work, supports personal growth, and respects your time. Here’s what’s on offer:
- Up to £50,000 salary, depending on experience.
- 4-day work week after a successful probation period — more time for life outside of work!
- Annual training and development budget to invest in your growth.
- Generous holiday allowance plus public holidays.
- 100% remote working anywhere in the UK.
- A collaborative team culture where your input has real impact.
- Opportunity to work on high-profile projects with cutting-edge tools and major clients.
If you’re passionate about using data to solve real business problems — and want to do it in a flexible, supportive, and exciting environment — we’d love to hear from you!
Senior Data Analyst employer: SR2
Contact Detail:
SR2 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarise yourself with Looker and LookML, as these are crucial for the role. Consider building a small project or dashboard using these tools to showcase your skills and understanding during interviews.
✨Tip Number 2
Brush up on your SQL skills, especially with complex queries and large datasets. You might want to practice by solving real-world data problems or participating in online SQL challenges to demonstrate your proficiency.
✨Tip Number 3
Highlight your experience working in cloud environments, particularly Google Cloud Platform. If you have any relevant certifications or completed projects, be sure to mention them to show your expertise.
✨Tip Number 4
Prepare examples of how you've collaborated with cross-functional teams in the past. Being able to communicate effectively with engineers and developers is key, so think of specific instances where your contributions made a difference.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Looker, LookML, and SQL. Emphasise any previous roles where you collaborated with cross-functional teams and worked in cloud-based environments.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how your skills align with the company's needs. Mention specific projects or achievements that demonstrate your problem-solving mindset and ability to deliver insights.
Showcase Relevant Projects: If possible, include links to any relevant projects or dashboards you've created. This could be through a portfolio or GitHub repository, showcasing your technical skills and creativity in data solutions.
Highlight Soft Skills: Since the role requires strong communication and collaboration, make sure to mention experiences where you've successfully worked in a team or communicated complex data insights to non-technical stakeholders.
How to prepare for a job interview at SR2
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL in detail. Bring examples of complex queries you've written and how they contributed to data transformation or reporting. This will demonstrate your technical depth and problem-solving abilities.
✨Demonstrate Looker Proficiency
Since Looker and LookML are crucial for this role, be ready to explain your experience with these tools. Discuss specific projects where you built semantic data models and how they added value to the business.
✨Highlight Collaboration Experience
This position requires working closely with Data Engineers and cross-functional teams. Share examples of past collaborations, focusing on how you communicated technical concepts to non-technical stakeholders and contributed to team success.
✨Prepare for Problem-Solving Scenarios
Expect questions that assess your problem-solving mindset. Think of challenges you've faced in previous roles and how you approached them. This will show your proactive attitude and ability to work independently in a remote environment.