National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Analyst

Edinburgh
1 week ago
Create job alert

We're Hiring: Senior Data Analyst | Fully Remote (UK) | Google-Partnered Consultancy

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

📩 Ready to Apply?
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!

Click Apply Now or get in touch for an informal chat:

(url removed)

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Housing Asset & Data Management Analyst

Senior Data Engineer (SQL Server / AWS)

Senior Data Engineer (SQL Server / AWS)

National AI Awards 2025

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Mistakes Candidates Make When Applying for Data Engineering Jobs—And How to Avoid Them

Trying to land your next data engineering job? Discover the 10 most common mistakes UK candidates make—plus practical fixes, expert tips and curated resources to help you secure your ideal role. Introduction From real-time analytics teams in London fintechs to modern data platforms powering Cambridge health-tech, demand for data engineering talent across the UK has never been higher. Yet recruiters on DataEngineeringJobs.co.uk still reject the majority of CVs long before interview—often for small, avoidable errors. We analysed recent vacancies, interviewed in-house hiring managers and mined our most-read resources. The result is a definitive list of the 10 costliest application mistakes, each paired with an actionable fix and a helpful link for deeper learning. Bookmark this checklist before you press Apply.

Top 10 Best UK Universities for Data Engineering Degrees (2025 Guide

Discover ten of the strongest UK universities for Data Engineering degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the fuel of the digital economy, and turning raw records into reliable, analysis-ready information is the job of the data engineer. From building lake-house architectures to orchestrating near-real-time pipelines, demand for these skills is soaring across finance, retail, health-tech and government. The UK boasts several universities recognised internationally for large-scale data systems and scalable computing. Below we profile ten institutions whose undergraduate or postgraduate pathways major on data engineering. Tables shift each year, but these universities have a consistent record of excellence in teaching, research and industry collaboration.

How to Write a Winning Cover Letter for Data Science Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for data science jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the data science sector. When applying for a data science job, your cover letter is an essential part of your application. The data science field is highly competitive, with many candidates vying for the same roles. Your cover letter allows you to showcase your technical expertise, analytical skills, and your ability to apply data to solve real-world problems. It’s the perfect opportunity to demonstrate your passion for data and your understanding of how it can drive meaningful insights for an organisation. Whether you're new to data science, making a career switch, or looking to advance your skills, this article will guide you through a proven four-paragraph structure to craft a compelling cover letter. We’ll provide sample lines and tips to help you stand out in the highly competitive data science job market.