Business Insights Analyst | Hybrid

Eternity Recruitment; Kuala Lumpur; Hybrid; MYR 80,000 - 110,000; Full time

Job summary

A leading recruitment agency in Kuala Lumpur is seeking a results-oriented Business Intelligence Analyst to join a dynamic team. The ideal candidate will have a strong background in data analysis, advanced SQL skills, and proficiency in Power BI. Responsibilities include designing interactive dashboards, analyzing marketing effectiveness, and driving data-driven decision-making. This role offers a hybrid work environment and various benefits, including annual leave and a 13th-month salary.

Benefits

Hybrid work environment

Annual Leave / EPF contributions

13th-month salary

Company-provided laptop

Season parking pass

Qualifications

• Minimum 3 years of experience in Business Intelligence, Data Analytics, or a similar role.
• Strong understanding of data warehousing concepts and ETL processes.
• Power BI Data Analyst Associate certification is an added advantage.

Responsibilities

• Consolidate data from multiple sources to support analytical solutions.
• Design, develop, and maintain interactive Power BI dashboards.
• Support campaign planning by analyzing demand trends and marketing effectiveness.
• Conduct predictive and statistical analyses to evaluate game performance.

Skills

Advanced SQL

Power BI

Data analysis

Statistical analysis

Problem-solving

Education

Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field

Tools

Power BI

SQL

Python

R

Job description

Eternity Recruitment – Kuala Lumpur, Kuala Lumpur

We are seeking a highly analytical and results-oriented Business Intelligence Analyst to join our client's team. In this role, you will harness data from internal systems, third-party platforms, and public sources (e.g., Google Analytics) to provide actionable insights that drive player acquisition, engagement, retention, and revenue growth.

You will play a crucial role in shaping cross‑functional strategies by building interactive dashboards, monitoring KPIs, and uncovering trends that influence marketing, sales, and operational initiatives.

Benefits

• Hybrid work environment
• Annual Leave / EPF contributions
• 13th-month salary
• Company-provided laptop (Windows or Mac)
• Season parking pass

Key Responsibilities

• Consolidate data from multiple sources; transform and model data to support analytical solutions and uncover meaningful patterns and trends.
• Design, develop, and maintain interactive Power BI dashboards to monitor key business metrics, KPIs, and forecasting models.
• Support campaign planning by analyzing demand trends, evaluating marketing effectiveness, and assisting with A/B testing initiatives.
• Identify opportunities to improve player engagement, increase retention, and maximize revenue.
• Perform thorough data validation to ensure calculated metrics and model outputs align with business logic.
• Conduct predictive and statistical analyses to forecast player behavior and evaluate game performance.
• Collaborate with internal stakeholders, including account managers and game providers, to align analytics with business objectives.
• Partner with sales, marketing, and operations teams to drive data-driven decision-making.
• Monitor industry trends and competitor performance to identify new business opportunities.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
• Minimum 3 years of experience in Business Intelligence, Data Analytics, or a similar role.
• Strong understanding of data warehousing concepts, dimensional modeling, and ETL processes.
• Advanced SQL skills with the ability to extract, manipulate, and analyze large datasets.
• Proficient in Power BI, including DAX, data modeling, and report/dashboard development.
• Power BI Data Analyst Associate certification is an added advantage.
• Experience analyzing data from multiple game studios, operators, or iGaming platforms is preferred.
• Knowledge of Python or R for data manipulation and statistical analysis is a plus.
• Exposure to cloud data platforms such as BigQuery, Snowflake, or Amazon Redshift is a plus.
• Strong analytical and problem-solving skills with the ability to derive actionable insights.
• Excellent communication skills, with the ability to present insights to non-technical stakeholders.

ER Ref No: 012