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For Companies At a Glance
- Tasks: Design and build data models, dashboards, and analytics for impactful insights.
- Company: Join a Google-partnered consultancy leading in modern data solutions.
- Benefits: Enjoy a 4-day work week, remote work, and a generous holiday allowance.
- Why this job: Be part of a collaborative culture that values your ideas and offers growth opportunities.
- Qualifications: Strong Looker and SQL skills, with experience in cloud environments and teamwork.
- 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.
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.
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)
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: LinkedIn
Contact Detail:
LinkedIn 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 before applying. Since these tools are crucial for the role, having a solid understanding of their functionalities will help you stand out during interviews.
✨Tip Number 2
Showcase your SQL skills by preparing examples of complex queries you've written in the past. Being able to discuss specific challenges you've overcome with SQL can demonstrate your expertise effectively.
✨Tip Number 3
Network with professionals in the data analytics field, especially those who have experience with cloud platforms like GCP. Engaging in conversations can provide insights into the company culture and expectations.
✨Tip Number 4
Prepare to discuss your experience working in cross-functional teams. Highlighting your collaborative skills and how you've successfully communicated technical concepts to non-technical stakeholders will be key.
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 relevant projects where you've built data models or worked in cloud environments, particularly Google Cloud Platform.
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 examples of how you've used data to drive business insights and your experience working collaboratively with technical teams.
Showcase Your Problem-Solving Skills: Provide examples in your application that demonstrate your proactive, problem-solving mindset. Discuss challenges you've faced in previous roles and how you overcame them using data-driven solutions.
Highlight Remote Work Experience: Since this is a remote position, mention any previous remote work experience. Discuss how you effectively communicate and collaborate with teams in a virtual environment, showcasing your adaptability and independence.
How to prepare for a job interview at LinkedIn
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL in detail. Bring examples of complex queries you've written and be ready to explain your thought process behind them. This will demonstrate your technical depth and problem-solving abilities.
✨Understand Looker and LookML
Since the role heavily involves Looker and LookML, make sure you brush up on these tools. Be ready to discuss how you've used them in past projects, particularly in building semantic data models. This will show your familiarity and expertise in the required technologies.
✨Emphasise Collaboration Experience
Highlight your experience working with cross-functional teams, especially with Data Engineers and Developers. Share specific examples of how you’ve collaborated to deliver successful projects, as this role requires strong teamwork in a remote environment.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to translate business needs into technical solutions. Think of examples from your previous roles where you successfully navigated challenges and delivered impactful insights.
