Product Data Analyst

Harnham
Orpington
8 months ago
Applications closed

Related Jobs

View all jobs

Product Data Analyst

Business Data Analyst

Data Analyst

Data Analyst (HR Data) – SC Cleared

Data Analyst - Maritime

Data Scientist

Product Data Analyst

Orpington (3 days a week)

Up to £70,000 plus benefits


Passionate about understanding user behaviour and fueling product decisions? Join our rapidly growing, entertainment-focused membership disrupting the market. We offer daily luxury prize wins and exclusive rewards to a growing audience.


As aProduct Data Analyst, you'll be key in analysing user journeys and identifying opportunities to improve engagement and drive product-led growth. Your Looker Studio and BigQuery expertise will create dashboards tracking vital product metrics and informing product development. Bring your innovative thinking and help shape our exciting future.


What you'll do:


  • Build BigQuery data models for product analysis, focusing on user behaviour.
  • Create and maintain insightful product dashboards and reports in Looker Studio (acquisition, activation, retention, referral).
  • Collaborate with Product, UX/UI, and Engineering to understand data needs.
  • Analyse user interaction data to identify trends and insights for product improvement.
  • Advise on product analytics best practices and KPIs.
  • Ensure product data accuracy and reliability.
  • Monitor and optimise product data models and dashboards.
  • Stay updated on relevant product analytics tools.
  • Support product teams in using analytics effectively.


What you'll bring:


  • Strong technical data analysis skills with a product focus.
  • 3+ years analytics experience, providing data insights for product teams.
  • Proactive, results-oriented, and able to drive data-informed decisions.
  • Collaborative team player.
  • Enthusiasm for understanding users and building a compelling product in a high-growth environment.


Bonus:Experience with event tracking, R/Python, A/B testing analysis, user segmentation.


Please apply if interested!

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

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

🍪 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.