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- Tasks: Design and build data models, dashboards, and analytics to drive business insights.
- Company: Join a Google-partnered consultancy focused on innovative 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 that values your ideas and promotes professional growth.
- Qualifications: Strong SQL skills and experience in cloud environments are essential.
- Other info: Work on high-profile projects with cutting-edge tools and major clients.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
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.
- 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.
- Promoting data quality, governance, and best practices in all things analytics.
We’re looking for someone who combines technical depth with strong communication, and who thrives in a collaborative, remote working environment.
- 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).
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.
- 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!
Data Analyst - Data Analityk employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Data Analityk
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Looker, and Google Cloud Platform. Having hands-on experience or projects showcasing your skills with these technologies can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your previous experiences where you've collaborated with cross-functional teams. Highlighting your ability to communicate effectively with Data Engineers and other stakeholders will demonstrate that you can thrive in a remote-first environment.
✨Tip Number 3
Research the company’s recent client wins and projects. Being knowledgeable about their work will not only help you tailor your conversation but also show your genuine interest in contributing to their success.
✨Tip Number 4
Think of examples where you've promoted data quality and governance in your past roles. Be ready to share how you’ve implemented best practices in analytics, as this aligns closely with the responsibilities of the role.
We think you need these skills to ace Data Analyst - Data Analityk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Emphasise your SQL expertise, cloud-based environment experience, and any previous work with data models or analytics.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your ability to work in a remote team. Mention specific projects where you've made an impact and how you can contribute to the consultancy's goals.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially in SQL, Looker, and Google Cloud Platform. Provide examples of how you've used these tools to solve business problems or improve processes.
Highlight Collaboration Experience: Since the role involves working closely with Data Engineers and client teams, include examples of past collaborative projects. Demonstrating your ability to communicate effectively and work as part of a team will strengthen your application.
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Showcase Your SQL Skills
Prepare to discuss your experience with SQL in detail. Be ready to explain complex queries you've written and how they contributed to data transformation or reporting. Consider bringing examples of your work to illustrate your expertise.
✨Demonstrate Collaboration
Since the role involves working closely with Data Engineers and client teams, be prepared to share examples of how you've successfully collaborated in previous roles. Highlight your communication skills and how you’ve contributed to team success.
✨Understand the Company’s Tools
Familiarise yourself with Looker, LookML, and Google Cloud Platform. Research how these tools are used in the consultancy's projects and be ready to discuss how your experience aligns with their tech stack.
✨Emphasise Problem-Solving Abilities
Be prepared to discuss specific business problems you've solved using data analytics. Share insights on how your analytical skills have led to impactful decisions or strategies in past projects.
