Gaming Data Analyst

Trust In SODA
Greater London
2 months ago
Create job alert

Gaming Data Analyst – HIRING ASAP

Start date: ASAP
Duration: 18 Months
Location: Remote
Rate: £250 - £265 per day PAYE

Summary:
We are looking for a Games Data Analyst that is excited about working in an incredible AAA games studio, to improve decision making and change the experience of millions of players around the world. The successful candidate will collaborate closely with game designers and producers to understand business challenges, then craft research initiatives and analyse complex datasets aimed at uncovering valuable insights about our clients’ player base. Your primary focus will involve leveraging game and platform telemetry to conduct comprehensive quantitative analysis.

We are in search of an individual who will learn about our clients’ leading game, its vibrant player community, and the diverse business needs of our clients’ stakeholders. In this role, you will be an integral part of our clients’ cross-disciplinary insights team. This is an opportunity to make a significant impact and collaborate with producers, designers, engineers, and leadership at a leading AAA live service studio.

Skills:

  • Strong experience as a data analyst
  • Gaming experience
  • Experience with planning and instrumenting game/platform telemetry
  • Experience working with data engineers to create datasets based on customer behaviour
  • Strong working knowledge of SQL and/or Python
  • Strong analytic skills and facility with Excel
  • Experience with presenting data and creating reports (e.g. PowerBI, Tableau)
  • Communication, organisational and collaboration skills
  • Experience answering research questions around customer engagement

Responsibilities:

  • Work closely with game designers & producers to understand current and new game features to identify opportunities for research and design.
  • Write complex SQL/Python scripts to extract and analyse big, complex, multi-dimensional datasets within Databricks.
  • Own instrumentation of game telemetry during the development phase; work closely with Engineering and QA teams to assure timely implementation and quality of the identified BI hooks.
  • Generate actionable reports and recommendations on features that will improve retention, monetisation, and acquisition.
  • Share both game feature specific and general player insights with executive leadership and game teams regularly.
  • Look for opportunities to deploy more experiments within the game, like designing A/B tests that assess the impact and implementing content recommenders.

Desirable Skills:

  • Knowledge of digital product analytics, including telemetry, KPIs, and engagement metrics
  • Familiarity with game industry/game development
  • Proficiency in statistical analysis, hypothesis testing, and experimental design methodologies
  • Experience with A/B testing, recommenders, and audience segmentation
  • Documentation and data/reporting architecture design
  • Telemetry hook design
  • Experience with Databricks or similar platforms
  • Experience with GIT, version control, and code review

#J-18808-Ljbffr

Related Jobs

View all jobs

Data Insights Analyst - Risk and Compliance

Senior Statistics Analyst

Analytics Manager

Senior Mobile Game Designer

System Support Engineer, Data

Product Manager

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.

Data Science vs. Data Mining vs. Business Intelligence Jobs: Which Path Should You Choose?

Data Science has evolved into one of the most popular and transformative professions of the 21st century. Yet as the demand for data-related roles expands, other fields—such as Data Mining and Business Intelligence (BI)—are also thriving. With so many data-centric career options available, it can be challenging to determine where your skills and interests best align. If you’re browsing Data Science jobs on www.datascience-jobs.co.uk, you’ve no doubt seen numerous listings that mention machine learning, analytics, or business intelligence. But how does Data Science really differ from Data Mining or Business Intelligence? And which path should you follow? This article demystifies these three interrelated yet distinct fields. We’ll define the core aims of Data Science, Data Mining, and Business Intelligence, highlight where their responsibilities overlap, explore salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer sense of which profession could be your ideal fit—and how to position yourself for success in this ever-evolving data landscape.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Science Talent

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.

Top UK Data Science Labs and Institutes: Where Innovation Meets Opportunity

Data has become the linchpin of modern innovation. From forecasting consumer behaviour to enabling cutting-edge health research, data science underpins breakthroughs across nearly every industry. In the United Kingdom, the data science landscape is particularly robust, fuelled by a blend of academic excellence, government support, and vibrant private-sector collaborations. For jobseekers or career-changers keen to explore opportunities in this exciting field, DataScience-Jobs.co.uk offers a gateway to the latest openings, news, and resources. In this in-depth article, we’ll tour the top UK data science labs and institutes, highlight the unique research and career paths available, and outline how you can position yourself to thrive in a field that’s as dynamic as it is rewarding.