Description
Uken is looking for a curious, analytical, and player-focused Intermediate Product Analyst to help shape the future of our games. In this role, you'll transform player and business data into actionable insights that improve player experience, engagement, retention, and monetization. You'll work closely with Product Managers, Game Designers, Engineers, and Performance Marketing to evaluate game performance, design experiments, and identify opportunities for growth. As AI becomes an increasingly important part of product development, you'll also leverage AI-powered tools to accelerate analysis, uncover insights, and improve decision-making. As a Ukenite, you’ll be working on meaningful things like: - Track core metrics proactively and regularly conduct exploratory data analysis to identify anomalies or growth opportunities with core product metrics including: player engagement, retention, monetization, and live operations performance - Synthesize qualitative data from player reviews, community feedback, and user research to develop a holistic, 360-degree view of the player experience - Proactively build data models, forecasts, and business cases to champion and support new product initiatives - Design, execute, and evaluate AB Test experiments to validate product hypotheses and guide development - Own the design and maintenance of intuitive dashboards, reports, and KPIs that empower data-driven decision-making across the studio - Partner across the organization to drive business outcomes, ensure data tracking accuracy, and translate complex analytical findings into actionable recommendations for stakeholders at all levels - Enable analysis by ensuring the logs, tables, and semantic layer create a strong and accurate foundation in conjunction with the Data Engineers - Leverage generative AI tools to accelerate analytical workflows, summarize datasets, identify trends and generate hypotheses, while continuously adopting emerging AI technologies to keep the analytics function cutting-edge Your background should include: - 3+ years of experience in Product Analytics, Data Analytics, or Business Intelligence, within free-to-play mobile gaming, SaaS, or digital consumer apps - Knowledge of live operations, game economies, player segmentation, and core product metrics (e.g., DAU, Retention, LTV, ARPDAU) is strongly preferred - Advanced SQL skills and experience querying large datasets, complemented by familiarity with Python or R for statistical analysis and forecasting - Proficiency with data visualization platforms (Hex, Tableau, Looker, Power BI) and exposure to AI-assisted analytics, machine learning and predictive modelling concepts is strongly preferred - <s