Job Description
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Amanotes I Data Analyst - For Marketing Team (>1yr exp)
Objective
- As an Amanotes’ Data Analyst in the Marketing team, you will drive data-driven decision-making to optimize user acquisition (UA) and creative strategies, delivering actionable insights that enhance campaign performance and contribute to the success of our global mobile gaming products.
What will you do
- Take ownership of initiatives related to UA & creative, understand clearly the objective, do research and find the best solution, put that into action and train other members on the utilization
- Apply techniques such as statistics, advanced analytics, machine learning,... to answer business questions such as pattern recognition of user behavior, user segmentation, optimization... and set up business solutions that are applied at company level
- Work closely with UA and Creative team in planning and daily operation to identify opportunities for data solutions, provide insight and consult on action for optimization
- Construct dashboards to monitor business performance, create and maintain data documentation (optional)
- Work closely with DA, DE team to build, optimize and ensure quality of data / ETL pipeline with Central Data team (optional)
Qualifications
- We’re looking for candidates with 1-3 years of experience in data analysis, ideally in mobile marketing, gaming, or related fields.
- Must-have:
+ Strong critical, logical, and analytical thinking.
+ Proven ability to conduct independent research and synthesize findings into actionable insights.
+ Experience with SQL, and data visualization tools (e.g., Looker Studio, Metabase, Tableau, Power BI, or similar).
+ Ability to communicate data findings using visualizations (e.g., bar, line, histogram, bubble charts) and provide clear, actionable recommendations.
+ Proactive attitude, strong learning agility, and ability to collaborate cross-functionally.
- Should-have:
+ Familiarity with Maths/Statistics, especially Statistical Inference (e.g., hypothesis testing, confidence intervals).
+ Good understanding of mobile UA (e.g., CPI, ROAS) and good command of English for written and verbal communication (e.g., presenting insights, writing reports.
+ Proficiency in statistical and analytical techniques (e.g., correlation, causal inference, hypothesis testing).
- Nice-to-have:
+ Basic knowledge of machine learning (e.g., classification, regression).
+ Experience with advanced analytics tools or big data platforms (e.g., BigQuery).
Benefits
- At Amanotes, you will be enjoying the dynamic working environment with unique music culture many benefits as below:
+ Competitive salary upon experience
+ 13th month salary
+ 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)
