Job Description

Role Overview:

We are seeking a detail-oriented Data Analyst to support product development and live operations through insightful data analysis. You will work closely with cross-functional teams to track user behaviour, retention, and monetisation, and contribute to key initiatives such as A/B testing, dashboard creation, and predictive modelling. This role is ideal for someone with strong SQL skills, analytical thinking, and a passion for using data to drive meaningful decisions - preferably with experience in gaming or digital products.

Key Responsibilities:

Analyse key user metrics such as behaviour, retention, monetization, and churn to support product improvements and live operations. Collaborate closely with product managers, developers, and operations teams to provide actionable data insights. Design and maintain data dashboards and self-service tools to monitor the impact of game updates and identify anomalies. Assist in A/B test design and analysis to validate game features, events, and monetization strategies. Support the development of game data models, including user segmentation, lifetime value (LTV) prediction, and churn forecasting.

Qualifications & Skills:

Minimum of 3 years of experience working with BI tools and data analysis. Proficient in at least one mainstream BI visualization tool such as Tableau, Power BI, Metabase, Looker, Superset, etc. Hands-on experience designing and developing enterprise-level dashboards with a solid understanding of UX/UI and information hierarchy. Strong SQL skills -- able to independently handle data cleaning, transformation (ETL), modeling, and metric definition. Experience working with backend systems (e.g., databases, APIs) and frontend frameworks for embedded BI or custom reporting portals.



Familiarity with data architecture concepts and data warehousing; experience building analytical data marts or topic-based datasets is a plus. Strong logical thinking and cross-functional communication skills - capable of translating business questions into practical data solutions. Product mindset towards BI tools - able to design scalable features and workflows from the user's perspective.

Nice to Have:

Experience contributing to internal BI platform development or report system productization. Familiarity with data pipelines or orchestration tools like Python, dbt, Airflow, etc. Knowledge of modern analytical databases such as ClickHouse, Doris, BigQuery, Redshift, Snowflake. Hands-on experience building self-service query modules, embedded BI dashboards, or role-based access control systems. Project coordination or cross-team collaboration experience on BI implementation projects.

We Offer:

Experience a dynamic and team-oriented work environment. Opportunities for personal growth and learning. An open, inclusive and supportive team where you will be valued, and your suggestions will be welcome. 26 days paid holiday per year, in addition to local public holidays. Competitive salary. Risk Benefits such as pension, Life Assurance (4x annual salary), Private Medical Insurance. Team Building activities. * Local discounts and more...!