Business / System Analyst (CRM – iGaming Project)
Type : Permanent
Location : Maluri, Kuala Lumpur (MRT accessible)
Working Days / Hours : Monday to Friday, Friday WFH
Salary : From RM4,000 + Monthly Performance Bonus + Year-End Bonus
Project handling : iGaming only
- please research before you apply
Why Join Us?
Hybrid Work Mode : No Punch Card - two days of work-from-home each week.Accessible Location : Office is within walking distance from the MRT.Monthly Performance Bonus : Up to 4 digits monetary reward, get paid for your hard work.Professional Development : Sponsorship for professional training and workshops.Annual Leave Encashment : Get paid for unused leave.Work Assets Provided : All necessary work tools and equipment are supplied.Key Responsibilities
Automate repetitive data tasks and business processes using Python or relevant tools / libraries.Collaborate with IT, product, and business teams to design and implement automation projects, chatbot flows, and backend solutions.Assist in campaign planning, customer journey mapping, and retention strategy execution.Research market, competitor, and CRM trends to recommend improvements and opportunities for automation.Translate data insights into actionable strategies that enhance customer experience and operational efficiency.Conduct system tests, studies, and performance monitoring to ensure quality in IT solutions under development.Requirements
Bilingual in English & Mandarin (written, spoken, reading) — required to handle Mandarin-speaking markets.Diploma or above; preferably in Data Analytics, Computer Science, Information System, or related fields.Proficient in Python (must-have) for data analysis, scripting, or chatbot / system automation.Proficient in G Suite, Microsoft Excel (including VBA and Power Query), SQL, and BI tools.Minimum 1-year experience in Data Analysis, System Development, Digital Marketing, or CRM Strategy (6 months in same company).Understanding of iGaming terms, including slots games, esports, crypto will be an advantage.Fresh graduates with strong Python / data projects are welcome to apply.