[LiveOps Team] Senior Product Data Analyst (Based in HCM)
Summary
Senior Product Data Analyst at Amanotes analyzing behavioral data from 3B+ users to drive product optimization—conducting A/B tests, building dashboards, and delivering insights using SQL, Python, and R.
About the team
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Strong data engineering foundation team with sustainable data pipelines.
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Highly mature Data team with a mindset of Data as a Product.
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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
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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.
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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.
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Conduct pre-AB test exploratory analysis to provide data-driven insights for product feature design.
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Conduct post-AB test deep-dive explanatory and exploratory analysis to validate key hypotheses, providing solid learning for next steps.
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Construct dashboards to monitor business performance.
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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.
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Collaborate closely with the Data Engineering team to understand the centralized data warehouse and pipeline, extracting data from multiple sources.
Qualifications
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Bachelor’s degree in Business, Economics, Statistics, Math, Computer Science, or related majors.
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+3 years of experience in the data/analytics field.
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Strong product mindset, striving to improve user experience and product optimization; not stopping at data but providing product-driven solutions and consultation.
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Very good at logical thinking and able to learn new things quickly, attention to details.
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Strong analytics/statistics skills with experience working with a large amount of data (clean, visualize, extract insights, etc.).
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Strong experience using SQL/Python/R for data extraction and manipulation.
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Be confident to present the ideas and translating technical concepts and data into understandable reports/presentations.
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Be able to give clear and actionable recommendations based on data findings.
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Prefer experience on user segmentation modeling and product solutions based on models.
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Have a growth mindset, especially be comfortable with agile, strategic projects with ambiguous approaches.
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Nice to have: basic understanding of game industry and good command of English.
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)
As published by lever
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Portfolio URL
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