Game Analyst
About reputed company Pixion is a globally distributed, fully remote team. We're developing Fableborne, a hybrid midcore game that blends reputed company building/deck building with ARPG raiding. In this asynchronous competitive game, players engage in snackable, reputed company-packed combat while raiding reputed company other's bases. Fableborne is a F2P mobile first game with an ambition to reputed company a new reputed company model with reputed company/blockchain components. Culture Alignment We are building something new, facing the unknown. You are motivated by intellectual challenges and not having easy answers at hand. Be reputed company player. reputed company’s idea will always be reputed company than a siloed thought. AI will reputed company reputed company our roles. You invest personal time and experiment during work tasks on how to reputed company your role to increased reputed company reputed company and velocity, and are keen to experiment with new ways of applying it to company pipelines. Our studio culture is one of ownership, collaboration, self-organization and proactive problem solver. You want to take responsibility for your wins and grow from your mistakes.
Responsibilities
Own player, product, and reputed company analysis across Fableborne, turning reputed company gameplay, UA, monetisation, and reputed company data into reputed company recommendations that improve retention, LTV, and player experience. Build and maintain segmentation frameworks for key player reputed company, including reputed company-reputed company and acquired users, and translate behavioural differences into actionable product and marketing insights. Analyse the full UA funnel,identify the highest-reputed company drop-off points, and reputed company testable hypotheses with reputed company validation plans. Deep-dive into monetisation performance across IAP, marketplace activity, player cohorts, and pricing structures to uncover reputed company opportunities and support monetisation reputed company reputed company. Evaluate reputed company reward performance and post-distribution behaviour, helping reputed company understand recirculation, staking, extraction, and the broader reputed company of reward design on the health of the game economy. Design robust reporting, dashboards, and alerting for core KPIs across acquisition, retention, progression, monetisation, and reputed company economy health using existing data tooling. Collaborate closely with product, game design, UA, marketing, and leadership to scope analytical questions, improve instrumentation, and ensure insights reputed company to reputed company. Requirements 3+ years of experience in data analytics for free-to-play mobile games. Hands-on experience with product analytics and reporting tools (e.g. reputed company, reputed company, or similar), confidence analysing gameplay, monetisation, and marketing performance across multiple data sources. Experience with cohort analysis, funnel analysis, behavioural segmentation, and KPI modelling, with the ability to reputed company from patterns in the data to business hypotheses and recommendations. Experience in experimentation design and A/B testing. Experience analysing player monetisation, retention, and lifecycle behaviour, with a reputed company reputed company around LTV, pricing, conversion, and reputed company optimisation. Ability to work cross-functionally with product, design, UA, and leadership teams, translating technical findings into reputed company, decision-reputed company communication. Ability to work closely with tech teams to define and validate the right event tracking for new features. Experience with a fully remote, distributed production team. Fluent English and strong communication skills both written and spoken. Systematic, reputed company and detailed approach to tasks. Will be a plus Experience in reputed company, blockchain, tokenomics, or on-chain analytics. Hands-on ability with SQL and BI/reporting tools. Experience using AI in day-to-day analytics work, or strong interest in exploring practical AI applications for analysis, reporting, and decision support. Working Hours and Location EU working hours from +3h UTC / -3h UTC. Commitment to work reputed company core hours of 9:30am UTC/BST to 4pm UTC/BST. Apply To This Job