Product Analyst · Skills Database

About the role

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 Requirements You have: 3+ years of relevant experience as a Product Analyst (preferably in a B2C or fast-growing company) Excellent SQL skills with hands-on experience in relational and columnar databases (we use Google BigQuery) Experience in building data models and data martsExperience with BI tools (Metabase, Tableau, PowerBI — we primarily use Metabase) Strong analytical mindset and good understanding of statistical methodsHands-on experience with A/B testing, from design to statistical evaluationKnowledge of Python for data analysis (pandas, numpy, scikit-learn, etc.) Experience applying ML in business contextsUnderstanding of causal inference / uplift modeling is a strong plus Good presentation and communication skills to explain findings clearlySolid English skills for business communication (B1+) What we offer: Fully remote work. A chance to shape the future of AI-driven education. A fun, dynamic team that loves building innovative products. Unlimited holidays – because we trust you to deliver. Bonuses and stock options – we grow together. Originally posted on Himalayas

Skills mentioned in the listing

PythonSQLData analysisMachine learningPandasNumPyPower BITableauA/B testing

Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.

Why these skills appear

Python · requirement-context
experience with A/B testing, from design to statistical evaluationKnowledge of Python for data analysis (pandas, numpy, scikit-learn, etc.) Experience applying ML in business contextsUnderstanding of causal inference /

SQL · requirement-context
o 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 t

Data analysis · mentioned
with A/B testing, from design to statistical evaluationKnowledge of Python for data analysis (pandas, numpy, scikit-learn, etc.) Experience applying ML in business contextsUnderstanding of causal inference / uplift mode

Machine learning · mentioned
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, validati

Pandas · mentioned
ng, from design to statistical evaluationKnowledge of Python for data analysis (pandas, numpy, scikit-learn, etc.) Experience applying ML in business contextsUnderstanding of causal inference / uplift modeling is a stron

NumPy · mentioned
design to statistical evaluationKnowledge of Python for data analysis (pandas, numpy, scikit-learn, etc.) Experience applying ML in business contextsUnderstanding of causal inference / uplift modeling is a strong plus

Power BI · requirement-context
building data models and data martsExperience with BI tools (Metabase, Tableau, PowerBI — we primarily use Metabase) Strong analytical mindset and good understanding of statistical methodsHands-on experience with A/B tes

Tableau · requirement-context
ience in building data models and data martsExperience with BI tools (Metabase, Tableau, PowerBI — we primarily use Metabase) Strong analytical mindset and good understanding of statistical methodsHands-on experience wit

A/B testing · requirement-context
l mindset and good understanding of statistical methodsHands-on experience with A/B testing, from design to statistical evaluationKnowledge of Python for data analysis (pandas, numpy, scikit-learn, etc.) Experience apply