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Experience:
4 years required
Skills:
Statistics, SQL, Tableau, English
Job type:
Full-time
Salary:
negotiable
- Analyze user behavior, customer journeys, and product performance.
- Conduct funnel, retention, cohort, segmentation, and engagement analyses.
- Identify optimization opportunities and provide actionable business insights.
- Support ad-hoc analytical requests from Product, Marketing, Business, and Management teams.
- Translate business questions into measurable metrics and analytical frameworks.
- Present clear insights and recommendations to stakeholders.
- Develop and maintain dashboards, reports, and KPI tracking frameworks.
- Monitor key metrics, identify trends, and investigate anomalies.
- Define success metrics for product features and initiatives.
- Support A/B testing and evaluate feature adoption, user engagement, and business impact.
- Collaborate with Product Owners and Data Engineers on tracking requirements.
- Validate data collection, event tracking, and reporting accuracy.
- Bachelor s degree in Computer Science, Statistics, Mathematics, Data Analytics, or a related field.
- 4-7 years of experience in Product Analytics, Data Analytics, Business Intelligence, or a related role.
- Strong SQL skills with experience querying and analyzing large-scale datasets.
- Hands-on experience with data warehouses such as BigQuery, Snowflake, Redshift, or similar platforms.
- Experience building dashboards and KPI reports using Tableau, Power BI, Looker, or similar BI tools.
- Strong experience in product analytics, including user journey analysis, funnel optimization, retention analysis, churn analysis, and customer segmentation.
- Experience defining product KPIs, measuring feature performance, and supporting A/B testing or experimentation initiatives.
- Experience with mobile app analytics and digital analytics platforms such as GA4, Firebase Analytics, or AppsFlyer.
- Experience with product analytics tools such as Amplitude, Mixpanel, Heap, or similar platforms.
- Strong analytical, communication, and stakeholder management skills with the ability to translate data into actionable business insights.
- Experience in OTT, Streaming, Subscription, E-commerce, Digital Media, or other consumer-facing digital products is highly preferred.
- Knowledge of Python or R for data analysis and automation is a plus.
- Fluent in Thai with good command in English.
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