Lead Data Analyst

We are looking for an exceptional Senior Data Analyst to join our fast-paced, data-driven gaming team. The ideal candidate will possess excellent SQL skills, a strong analytical mindset, and a passion for solving complex, high-impact problems across marketing analytics, product analytics, and gaming performance optimisation. This role offers the opportunity to work on massive-scale datasets (billions of data points), influence product and marketing strategy, and partner with cross-functional teams to shape the future of our games and player experiences.

Responsibilities:

• Deliver end-to-end analytics and data science projects aligned with product and business goals.
• Conduct deep-dive analyses to uncover actionable insights across user acquisition (UA), marketing performance, and campaign effectiveness, including high-budget, multi-channel campaigns.
• Partner with the Marketing and UA teams to optimise spend efficiency, ROI, and creative performance through data-driven recommendations.
• Collaborate with game and product teams to design, validate, and optimise data-driven product features and engagement strategies.
• Design, execute, and interpret experiments (A/B tests) to guide strategic product and marketing decisions.
• Build and maintain dashboards, automation pipelines, and analytical frameworks to empower business and marketing teams with real-time insights.
• Mentor and guide junior analysts, fostering analytical rigour and technical growth within the team.
• Contribute ideas and innovations during product and marketing brainstorming and planning sessions.

Stakeholder Management and Communication:

• Work closely with senior leaders across Marketing, Product, Engineering, and Operations to identify key opportunities and deliver impactful insights.
• Demonstrate excellent communication and storytelling skills, able to present data to both technical and non-technical audiences.
• Build trust with stakeholders through transparency, reliability, and a deep understanding of business context.

Engineering and Technical Foundation:

• Design, build, and maintain data pipelines connecting games, ML models, data warehouses, and third-party systems.
• Proficient in SQL (expert level) and Python for data manipulation, analytics, and automation.
• Experience working with large-scale data systems (handling billions of data points).
• Familiarity with data modelling, ETL design, and performance optimisation.

Data Visualisation and Reporting:

• Proficiency in Excel and at least one BI/visualization platform such as Metabase, Looker, Tableau, QlikView, or Power BI.
• Build scalable, self-serve dashboards and intuitive visualisations that enable faster decision-making.
• Ensure data accuracy and clarity in all reports and visual artefacts.
• Comfortable distilling complex data into simple, actionable insights.
• Action-Oriented, ownership-driven, and an independent contributor.
• Strong bias for action and ability to deliver at speed.
• Take complete ownership from conceptualisation to execution for analytics and data science projects.
• Proven ability to work independently, prioritise effectively, and manage multiple parallel initiatives.
• Proactively identify opportunities, propose solutions, and drive them to completion.

Requirements:

• Exhibit structured thinking, strong analytical skills, and a data-driven mindset.
• Solve complex, ambiguous problems with creativity and precision.
• Deep understanding of experimentation, A/B testing, and statistical modelling.
• Ability to translate analytical findings into clear business recommendations that drive measurable outcomes.

Preferred Qualifications:

• 6+ years of experience in data analytics, ideally in gaming, consumer tech, or digital products.
• Strong foundation in statistics, experimentation, and data science fundamentals.
• Strong proficiency in SQL, Excel, and Python.
• Bachelor's or Master's degree in Engineering, Statistics, Mathematics, Economics, or related quantitative field.
• Experience with big data platforms (Athena, Redshift, Hive, Spark) is a plus.
• Prior exposure to digital marketing analytics, UA optimisation, or large-scale campaign measurement is highly desirable.
• Bonus: Prior experience in a gaming company or with game performance analytics (player retention, monetisation, or in-game behaviour) will be a significant advantage.