Senior Data Analyst

Third Space
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Third Space is a collection of luxury health clubs in London; individual in style, bound by a common philosophy: to provide outstanding fitness spaces that members feel are their own. Our people are the creators that bring the space to life. We’re a team of motivators, inventors, and coaches; always striving to grow and evolve. It’s not just a job, it’s a lifestyle. We inspire our members to fulfil their lives and they rely on us…and we wouldn’t have it any other way. This is our space.

Last year we opened 4 brand new clubs, taking us to 13 in London. This year and beyond, our plan is to almost double our estate, as well as continue the ongoing refurbishments of our existing portfolio.

Thanks to our exciting expansion and data-led mindset, we are now looking to appoint a Senior Data Analyst to join the FP&A team.  Data is at the heart of every major decision we make, and this role will play a crucial part in shaping those decisions. In order to be successful in this role, you will need to have advanced proficiency of SQL, the ability to build dashboards on Power BI or similar, and be passionate about bringing data to life.


Key Responsibilities:

  • Design and build reports, creating clear and compelling data visualisations in Power BI that give teams a clear view of performance
  • Work across departments and teams to understand their needs and requirements, and provide and advise on data-driven insights
  • Proactively identify new opportunities for growth and enhance existing data capabilities

 

  About You

  • Advanced proficiency in SQL with Python and R knowledge highly advantageous
  • Proven experience of building strong relationships across departments
  • Ability to translate complex data into clear, strategic recommendations
  • A proactive, solutions-driven mindset


This role is a new role for Third Space, so if you have a passion for data and translating data to drive performance, we’d love to hear from you. 

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.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.