Amanotes

Overview of job

About the team
Inside our team:

• Strong data engineering foundation team with sustainable data pipelines.
• Highly mature Data team with a mindset of Data as a Product.
• Highly data-driven culture across multiple teams with a variety of data problems requiring diversified analytics methods. You will learn and grow deeply in Analytics while solving the problems.

About the role

• As an Amanotes’ product Data Analyst, you have the chance to deal with data of  3+ billion users to generate accurate, actionable, and timely insights for the products team, in order to boost user understanding and  product optimization

What you will do

• Insights are key. We need deep-dive insights to improve user experience and product/process optimization, driving actions from top-down levels to bottom-up.
• Use analytical techniques such as EDA, statistical tests, time series analysis, funnel analysis, user journey analysis, clustering and other segmentation methods, etc. to extract patterns and user/product insights from behavioral user data.
• Conduct pre-AB test exploratory analysis to provide data-driven insights for product feature design.
• Conduct post-AB test deep-dive explanatory and exploratory analysis to validate key hypotheses, providing solid learning for next steps.
• Construct dashboards to monitor business performance.
• Proactively communicate with the business team (cross-functional teams) to understand their needs and to transform business questions into analytics and build data models to solve them.
• Collaborate closely with the Data Engineering team to understand the centralized data warehouse and pipeline, extracting data from multiple sources.

Benefits

• Competitive salary upon experience
• 13th month salary
• Game Incentive
• Annual Performance Bonus
• Flexible working time
• Personal learning and well-being budget
• Team-building budget
• Lunch and parking allowance
• Various learning activities, including internal training & sharing, international conferences, and e-learning (Udemy, Linkedin Learning...)
• Engaging music events: Music Night, Amasing Night, Music schools…
• Employee Assistance Program to support mental health & well-being
• Minimum 12 days of paid annual leave, plus 10 days of paid sick leave
• 12 days working from home per year
• Attractive relocation package (for several positions)

Consent Notice for Personal Data Processing

- By applying to any position at Amanotes, you acknowledge and agree that your personal data will be collected and processed for recruitment-related purposes. Please read the “” carefully before submitting your application.

- Thank you for your interest in joining Amanotes.

About Amanotes

We are Amanotes – a dynamic music game company that’s using cutting-edge technology to transform how people experience music.

Since 2014, we’ve led the global simple music game market with over 3.5 billion downloads across 190+ countries, including chart-topping titles like Magic Tiles 3, Tiles Hop, Dancing Road, and Duet Cats.

As the #1 Music Game Publisher worldwide and the #1 App Publisher from Southeast Asia by downloads, our ambition is clear: to create iconic, hybrid-casual music games that people love and play for years.

What truly sets Amanotes apart is not just what we build — it’s how we grow and who we grow with:

🎓 We invest in your growth through learning budgets, coaching, and stretch opportunities.

🎶 We embrace a creative and dynamic culture, where everyone can play, share, and thrive.

🧘 We believe in work-life harmony — your rhythm matters here.

🏆 We recognize and reward impact, with competitive benefits and clear development paths.

Come join our music-filled workplace, where innovation meets rhythm — and let’s create a magical music experience together.

Amanotes – Where Everyone Can Music.

Qualifications

• Bachelor’s degree in Business, Economics, Statistics, Math, Computer Science, or related majors.
• +3 years of experience in the data/analytics field.
• Strong product mindset, striving to improve user experience and product optimization; not stopping at data but providing product-driven solutions and consultation.
• Very good at logical thinking and able to learn new things quickly, attention to details.
• Strong analytics/statistics skills with experience working with a large amount of data (clean, visualize, extract insights, etc.).
• Strong experience using SQL/Python/R for data extraction and manipulation.
• Be confident to present the ideas and translating technical concepts and data into understandable reports/presentations.
• Be able to give clear and actionable recommendations based on data findings.
• Prefer experience on user segmentation modeling and product solutions based on models.
• Have a growth mindset, especially be comfortable with agile, strategic projects with ambiguous approaches.
• Nice to have: basic understanding of game industry and good command of English.