🕒 12 days ago
As a Product Analyst for Prism, you'll ensure accurate data interpretation and improve user queries, collaborating with Product Management, Data Science, and Engineering teams.
Product Analyst (Remote)
📅 Oct 1, 2025
SQLData AnalysisData InsightsDashboard Development
📜 Description
- Work closely with the acquisition team to support them with accurate, reliable, and timely data insights
- Own and drive growth of key acquisition funnel metrics
- Develop and maintain dashboards, perform ad-hoc analyses and deliver actionable insights to the acquisition team
- Ensure high quality of data collection and contribute to technical decisions that improve data pipelines and reporting systems
- Apply machine learning techniques to improve acquisition efficiency
- Collaborate on development and evaluation of ML models (feature design, validation, interpretation of results)
🛠️ Requirements
- Strong SQL skills
- Solid experience in working with business data
- Ability to apply expertise to drive growth
Full job description
Novakid is on a mission to build the best online education platform for kids worldwide. We’ve already got over 100,000 students and 4,500 teachers making learning awesome in over 15 countries in Asia, Europe and Latin America. But we’re not stopping there—we need your help to take things to the next level!
We are looking for an experienced Product Analyst with strong SQL skills and solid experience in working with business data who can apply his/her expertise to help us grow.
You will:
Work closely with the acquisition team to support them with accurate, reliable, and timely data insights
Own and drive growth of key acquisition funnel metrics
Develop and maintain dashboards, perform ad-hoc analyses and deliver actionable insights to the acquisition team
Ensure high quality of data collection and contribute to technical decisions that improve data pipelines and reporting systems
Apply machine learning techniques to improve acquisition efficiency
Collborte on development and evaluation of ML models (feature design, validation, interpretation of results)
Use data-driven approaches to optimise user acquisitionSupport experimentation with advanced methods
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