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

Apply Now

Senior Data Analyst - Paper.io 2

Voodoo
Portsmouth
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst - SQL & Python

Senior Data Analyst – Fraud Analytics

Senior Data Analyst

Senior Data Analyst

Join to apply for the Senior Data Analyst - Paper.io 2 role at Voodoo

Join to apply for the Senior Data Analyst - Paper.io 2 role at Voodoo

About Voodoo

Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.

About Voodoo

Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.

This position can be Paris-based or full remote within CET time ±3h.

Team

Our Gaming team is made up of hybrid-casual, casual, and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing, and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games.

Joining our Live games team means collaborating with gaming industry experts on globally renowned, enduring games while embracing exciting new entrepreneurial ventures. With over seven billion downloads worldwide and a portfolio of more than 10 resilient hybrid games generating more than $20m per year, we are the world's largest and most successful hybrid publisher.

You will be joining one of our Live Studios, working on Paper.io 2.

About Us

We’re a small team of excellent people who handle everything, from ideas to testing and we’re growing fast while keeping our high standards. We avoid the obvious, value original thinking, and look for people who bring real personality and perspective to their work. That’s why we skip the usual technical checklist and focus on what really matters: the kind of person you are.

Role

  • Autonomously take ownership of the A/B testing cycle on Paper.io 2, validating feature values, refining key parameters, and optimizing monetization to drive core KPIs.
  • Lead analysis of large, complex datasets to uncover player behaviors and growth opportunities.
  • Translate data insights into clear, actionable recommendations that shape game design and the product roadmap.
  • Collaborate closely with designers, product managers, and developers to embed data-driven decisions throughout the game lifecycle.
  • Build and maintain dashboards and reports that keep the team aligned on critical metrics.

Profile

  • 4+ years in analytical roles within gaming, comfortable working with product teams.
  • Skilled in SQL and either R or Python; experience with complex, large datasets.
  • Strong grasp of A/B testing and statistical analysis methods.
  • Autonomous and pragmatic problem solver with a sharp analytical mind and attention to detail.
  • Thrives in fast-paced live-ops/product-driven environments with rapid iteration.
  • Creative thinker who challenges assumptions and sees beyond the obvious.
  • Player-first mindset with genuine interest in games and player behavior.
  • Excellent communicator who turns data into compelling, actionable stories.
  • Collaborative team player who adapts quickly to change and ambiguity.

Benefits

  • Best-in-class compensation
  • Other benefits based on your country of residence

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesEntertainment Providers

Referrals increase your chances of interviewing at Voodoo by 2x

Get notified about new Senior Data Analyst jobs in Greater Portsmouth Area.

Fareham, England, United Kingdom £34,624.00-£34,624.00 19 hours ago

Portsmouth, England, United Kingdom 1 day ago

Whiteley, England, United Kingdom 2 months ago

Portsmouth, England, United Kingdom 6 days ago

Portsmouth, England, United Kingdom 3 weeks ago

Sr. System Performance Analyst (CS e-STORAGE)

Portsmouth, England, United Kingdom 1 day ago

Portsmouth, England, United Kingdom 1 day ago

Portsmouth, England, United Kingdom 3 months ago

Portsmouth, England, United Kingdom 1 week ago

Portsmouth, England, United Kingdom 2 weeks ago

Portsmouth, England, United Kingdom 5 days ago

Portsmouth, England, United Kingdom 1 month ago

Portsmouth, England, United Kingdom 2 weeks ago

Finacial Analyst - onsite with flex - up to £45k

Portsmouth, England, United Kingdom 4 days ago

Portsmouth, England, United Kingdom 3 weeks ago

Fareham, England, United Kingdom 3 weeks ago

Whiteley, England, United Kingdom 3 weeks ago

Portsmouth, England, United Kingdom 1 week ago

Portsmouth, England, United Kingdom 1 week ago

Fareham, England, United Kingdom 4 days ago

Fareham, England, United Kingdom 7 hours ago

Portsmouth, England, United Kingdom 1 week ago

Portsmouth, England, United Kingdom 6 days ago

Royal Navy Operational Advantage Centre - Senior Operational Analyst - Above Water Warfare

Fareham, England, United Kingdom 1 week ago

Portsmouth, England, United Kingdom 5 days ago

Navy - Operational Advantage Centre - Senior Deployable Analyst

Fareham, England, United Kingdom 4 weeks ago

Portsmouth, England, United Kingdom 2 days ago

Portsmouth, England, United Kingdom 1 week ago

Portsmouth, England, United Kingdom 23 hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.