Data Analyst （Strategy）

SNSoft Sdn Bhd; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

SNSoft Sdn Bhd in Kuala Lumpur is seeking a data analytics professional to build segmentation and tagging frameworks, and to analyse the impact of numerical strategies on player behaviour. You will work with strategy engineers, product, and operations to translate findings into actionable adjustments.

Responsibilities include ongoing dashboard development and cross‑department reporting to support iterative strategy decisions.

Qualifications

• Solid foundation in data analysis; proficient in SQL and at least one analytics tool.
• Experience in user segmentation, tagging framework design, or player behavior analysis.
• Data analysis experience in the gaming industry preferred.
• Strong business acumen with ability to translate data into recommendations.
• Good communication skills in English and Chinese; cross‑regional collaboration

Responsibilities

• Build player segmentation and tagging frameworks based on behavioural data.
• Conduct strategy data analysis to evaluate real-world impact of numerical strategies.
• Track and model relationships between metrics and player lifecycle stages.
• Collaborate with numerical strategy engineers, product, and operations teams.
• Establish and maintain dashboards and reporting mechanisms for iteration

Skills

SQL

Analytics tools

User segmentation

Tagging framework design

Player behavior analysis

Tools

Python

R

Excel

Job description

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1. Build player segmentation and tagging frameworks based on behavioural data to support targeted operations, strategy deployment, and personalised interventions.

2. Conduct strategy data analysis to evaluate the real-world impact of numerical strategies and operational campaigns across different player segments, and identify areas for optimisation.

3. Continuously track and model the relationships between core metrics (retention, turnover, LTV) and game numerical strategy / player lifecycle stage, delivering actionable analytical conclusions.

4. Work closely with numerical strategy engineers, product, and operations teams to translate analytical findings into concrete, actionable strategy adjustments.

5. Establish and maintain ongoing dashboards and reporting mechanisms to support continuous iteration of strategy decisions.

Requirements

• Solid foundation in data analysis; proficient in SQL and at least one analytics tool (Python / R / Excel, etc.).
• Experience in user segmentation, tagging framework design, or player behavior analysis.
• Data analysis experience in the gaming industry preferred.
• Strong business acumen, able to translate data findings into clear, actionable business recommendations.
• Good communication skills in both Chinese and English; comfortable working across departments and regions