Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Analyst | SQL Expert | Python | Remote Europe | Up to £100k

Maze
Leigh
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Football Data Analyst

Complaints Data Analyst

Senior Data Scientist

(INV) Senior Consultant, Data Engineer, AI&Data, UKI

(INV) Senior Consultant, Data Engineer, AI&Data, UKI

Data Scientist

Senior Data Analyst | SQL | Python | Amplitude | Remote Europe | Up to £100K


Maze is partnering exclusively with a rapidly scaling, AI-powered technology company in the digital economy to hire a Senior Data Analyst.


This is a high-impact role for a data professional who thrives on uncovering insights, driving experimentation, and shaping strategy through data.


Key Requirements


  • 5+ years of experience in data analytics
  • Advanced SQL and Python skills for data analysis, modelling, and automation.
  • Proven experience designing, running, and interpreting A/B tests and experiments.
  • Strong understanding of growth, engagement, and retention metrics across digital products.
  • Skilled in dashboarding and visualisation using tools such as Amplitude, Looker, Tableau, or QuickSight.
  • Excellent communicator who can translate data into actionable insights and influence decision-making.
  • Bonus: exposure to AI-driven analytics, LLMs, or cloud-based data infrastructure (AWS/GCP).


Why Join?


  • Drive impact at a fast-scaling, data-led company shaping the digital economy.
  • Own the full analytics lifecycle - from data modelling to insight generation.
  • Collaborate with a world-class team of engineers, product managers, and growth leaders.
  • Work in a culture that values autonomy, curiosity, and experimentation.
  • Fully remote across Europe with competitive pay - up to £90K base + benefits.


This role does not provide sponsorship and you must be legally authorised to work in the country you currently reside in.


If you match these requirements, please apply within!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.