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

Nominate & Attend

Senior Data Analyst

Miniclip SA
London
1 week ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst | Cambridge | Fintech

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Select how often (in days) to receive an alert:
We are looking to hire a Senior Data Analyst to add to the Product Analytics team! Your goal is to deeply understand gamers’ needs and prioritise their critical issues.
The Product Analytics team focuses on ensuring gamers are engaged with and return to the products. Your goal in this role will be to focus on and affect the parts of our games that will help us scale. Our current teams work on problems across multiple games, resulting in more gamers playing Miniclip games.
What will you be doing at Miniclip?

You’ll derive actionable insights from data to inform product decisions, from improving our onboarding flow to driving game feature performance.
You’ll help build conviction on high-value areas and challenge assumptions if there are faster or more effective ways to scale the game.
You’ll contribute to the broader Product Analytics goals, such as democratising data.
You’ll partner with Product Managers, Game Designers, Game Developers and other Analysts to set success metrics and monitor the impact of new product features.
You’ll contribute to the team environment where ideas are freely exchanged.
Using data to logically design and conduct A/B tests that lead to a better understanding of gamer behaviour.
What are we looking for?

Evidence of delivering actionable insights that have led to positive results.
Ability to clearly and concisely explain key findings and give data-driven recommendations to technical and non-technical stakeholders.
Knowledge of SQL and ability to perform complex queries in non-relational databases.
Experience using Data Visualization Tools such as Looker.
Familiar with domain-specific programming languages such as R or Python.
Robust knowledge in mathematical areas relevant to the position: statistics, hypothesis testing, etc.
Experience in product optimisation.
Knowledge of games and the gaming industry (not mandatory).
About Miniclip

Miniclip is a global leader in games and one of the world's biggest developers and publishers of mobile games, with a mission of unleashing the gamer in everyone. It distributes highly engaging games to a global audience of over 400 million monthly and 65 million daily active users across mobile, PC, console, social, and online platforms. Operating in 12 countries, Miniclip develops and launches games in multiple categories across its 20 studios.
Founded in 2001 with an internationally recognised brand name, Miniclip has successfully grown a global audience across 195 countries and six continents. It has a unique understanding of the games space, developing and distributing a strong portfolio of over 60 high-quality mobile games globally.
To date, Miniclip’s studios and companies have generated more than 10 billion downloads, including the following games: 8 Ball PoolTM, Subway SurfersTM, Golf BattleTM, Football StrikeTM, Carrom PoolTM, OSM - Online Soccer ManagerTM, Football Rivals TM, Pure Sniper TM, Puzzle Page TM, Head Ball 2TM, Motorsport ManagerTM, Darts of FuryTM, Ultimate GolfTM, Mini Football TM, Triple Match 3D TM, Agar.ioTM, and PowerWash Simulator TM.
For more information, visit

https://miniclip.com/

#J-18808-Ljbffr

National AI Awards 2025

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.