Business Insights Analyst New

COMPANY OVERVIEW

A well-established client of us in Kuala Lumpur is seeking for Business Insights Analyst.

• Compile, aggregate and consolidate data sets from multiple data sources to identify relationships, co-relations and trends.
• Analysis, identify and drive strategic and actionable insights with the operations, sales and marketing teams to define clear issues, analyze opportunities, and develop solutions and actionable recommendations in a rigorous, data-driven process.
• Develop and implement regular reporting of key performance metrics including key performance metrics, forecasting models, marketing and campaign performance.
• Support the marketing, promotions and sales team in structuring and planning forecasting supply/demand trends, measuring campaign and marketing effectiveness, supporting A/B testing efforts, and developing conclusions from the various actions.
• Uncover areas within the business that could potentially drive customer engagement, retention and revenue uplift to unlock sales opportunities or accelerate growth.
• Develop real-time reports and dashboards using BI tools (e.g., Tableau, Power BI, Looker).
• Conduct predictive analytics to anticipate player behavior and game performance.
• Work closely with account managers, game providers, and internal teams to align insights with business goals.
• Monitor market trends and competitor data to identify new opportunities.

• 3+ years of experience in Business Intelligence, Data Analytics, or a similar role.
• Advanced Excel skills (such as VBA scripting, macros, array formulas, pivot tables, power queries, multi-data source integration, data cleansing methods, text and data manipulation functions, charting and dashboarding) and seasoned in large data validation, reconciliation, and management.
• Strong SQL skills – ability to extract and manipulate large data sets.
• Proficiency in BI tools (Tableau, Power BI, Looker, or similar).
• Experience analyzing data from multiple game studios, operators, and iGaming platforms.
• Skilled in scripting or data manipulation languages such as Python or R for statistical analysis is a plus.
• Experience with cloud data platforms (BigQuery, Snowflake, Redshift) is a plus.
• Strong problem-solving skills and ability to identify actionable insights.
• Excellent communication skills – able to present data-driven recommendations to non-technical stakeholders.