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Hồ Chí Minh

Tuyển dụng LiveOps Team Senior Product Data Analyst tại Hồ Chí Minh

~38 triệu (dự kiến)Hồ Chí Minh·Còn 29 ngàyỨng tuyển ngay →

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ITviecLiveOps Team Senior Product Data Analystkhông ghi22/10/202617/09/2026
ITviecLiveOps Team Senior Product Data Analystkhông ghi22/10/202617/09/2026

Mô tả công việc LiveOps Team Senior Product Data Analyst

Top 3 Reasons To Join Us Attractive compensation & benefits Shape personalization with 3B+ user data Grow in a mature, data-driven LiveOps team The 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.
Your Skills and Experience

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.
Why You'll Love Working Here

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.

Việc này hợp với ai đó bạn quen?

Nhà tuyển dụng AMANOTES

AMANOTES · Hồ Chí Minh

Ngành: IT - Phần mềm Internet / OnlineNơi làm việc: Hồ Chí Minh

AMANOTES là nhà tuyển dụng ngành IT - Phần mềm Internet / Online. Hiện đang tuyển 2 vị trí tại Hồ Chí Minh, mức lương trung bình khoảng 38 triệu/tháng.

2việc đang tuyển
4tin tuyển dụng
2việc mới / 30 ngày
1nguồn tuyển dụng
~38 trlương trung bình
Kỹ năng tuyển nhiều:Data EngineeringLái xePhát triển bền vữngPhân tích dữ liệuPythonQuản lý khoSQLTiếng Anh
Vị trí tuyển nhiều:LiveOps Team Senior Product Data Analyst · 1Senior Product Data Analyst SQL/Python/R · 1
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