Data Analyst

HIGOGAME; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leading mobile gaming company in Singapore is looking for a Data Analyst (User Growth) to support user acquisition and monetization through advanced analytics. The role involves analyzing large-scale user behaviour data and collaborating with various teams to turn insights into actionable strategies. Ideal candidates have a relevant degree and strong SQL skills, with a passion for gaming. This position offers hands-on experience and opportunities for professional growth in a dynamic environment.

Benefits

Hands-on experience with active users

Clear growth path towards senior roles

Collaborative international environment

Qualifications

• Bachelor’s degree in Data Science, Statistics, or related field.
• Strong curiosity about player behaviour and game mechanics.
• Passion for gaming.

Responsibilities

• Identify and track key performance indicators (KPIs).
• Analyze user behaviour data to uncover growth opportunities.
• Build and maintain user segmentation frameworks.

Skills

SQL

Data analysis

User segmentation

Applied machine learning

Strong communication skills

Education

Bachelor’s degree in Data Science or related field

Tools

Python

Tableau

Power BI

Job description

Company Description

Higogame is a trailblazer in the mobile gaming and entertainment industry. Since our inception in late 2020, we have been dedicated to transforming the gaming landscape in Southeast Asia and beyond, delivering innovative and immersive experiences that engage millions of players around the globe.

• Our revenue has seen remarkable growth year after year, with operations extending across multiple regions worldwide.
• In just three years, we've risen to become one of the top two games of our kind in the local market.
• We proudly serve around 2 million active users daily and have a total monthly active user base of 5 million worldwide.
• Our team consists of 200+ talented employees, including a robust R&D division of more than 100 experts.
• We offer exceptional career development opportunities and foster a multinational culture that empowers everyone to reach their full potential.

Join us as we continue to push the boundaries of mobile gaming!

Job Overview

We are looking for a Data Analyst (User Growth) to support user acquisition, monetization, and game operations through advanced analytics, user segmentation, and predictive analysis. This role sits between business analytics and applied data science. You will work hands‑on with large‑scale user behaviour data to identify growth opportunities, build segmentation frameworks, and apply lightweight machine learning models to predict user behaviour (e.g. retention, churn, value), while staying closely connected to real business decisions. You will collaborate closely with User Acquisition (UA), Operations, Product, Design, and Data Engineering teams to turn data into actionable insights that drive measurable growth.

Key Responsibilities

• Identify and track key performance indicators (KPIs) across game operations, user engagement, and marketing effectiveness.
• Analyze large-scale user behaviour data to uncover growth opportunities and risks across acquisition, engagement, retention, and monetization.
• Build and maintain user segmentation frameworks (lifecycle, RFM, behaviour-based, value-based) across multiple game titles.
• Develop practical detection and monitoring logic for abnormal or high-risk player behaviours.
• Apply applied machine learning or statistical models to predict user behaviour such as churn, retention, or value potential, covering end-to-end data preparation, feature selection, modelling, and performance evaluation.
• Partner with UA, Product, and Operations teams to turn insights into actions and co‑shape BI‑related solutions, including user labeling systems, experimentation / A‑B testing frameworks and analytics definitions.
• Collaborate with the Data Engineering team in building and maintaining machine learning pipelines for data preprocessing, model training, and deployment.
• Guide and review work from junior data analysts, helping them strengthen analytical rigor and business context.

Must have:

• Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
• Passion for gaming and strong curiosity about player behaviour and game mechanics.
• Strong proficiency in SQL for data extraction, transformation, and analysis on large datasets.
• Hands‑on experience with user segmentation (e.g. lifecycle, RFM, behaviour-based, value-based).
• Practical exposure to applied machine learning or statistical modelling (e.g. churn prediction, retention modelling, classification, clustering), with focus on business use cases rather than research.

Nice to have:

• Solid foundation in data analysis, statistics, and user behaviour analytics.
• Ability to structure ambiguous business problems into clear analytical approaches and deliverables.
• Strong communication skills, able to translate complex analyses into actionable insights for non‑technical stakeholders.
• Experience with Python (e.g. pandas, numpy, scikit-learn) and BI tools (Tableau, Looker, Power BI, or similar) is a plus.
• Background in mobile gaming, consumer internet, or growth analytics is a plus.

What You will gain:

• Hands‑on experience working with millions of active users across multiple global markets.
• Ownership of meaningful analytics problems with direct impact on product, operations, and revenue.
• Practical experience applying analytics and machine learning to real production use cases, not academic exercises.
• Opportunity to help shape core analytics and BI building blocks, such as user labels, experimentation frameworks, and metric definitions.
• Exposure to cross‑functional decision‑making with UA, Product, Operations, and Engineering teams.
• Clear growth path toward Senior Data Analyst or Analytics Lead roles.
• A collaborative, fast‑moving, and international working environment with strong learning opportunities.