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...!