Assist in evaluating experiments and interpreting results to optimize product initiatives;
Participate in evaluating pricing experiments and interpreting results to inform product and marketing strategies;
Work on improving the existing LTV forecasting model and develop additional predictive models as needed;
Build reports and dashboards to provide visibility into product trends and opportunities;
Identify and explore potential growth levers based on data-driven insights;

Advanced SQL skills – ability to write complex queries using joins, window functions, CTEs, and aggregations; optimize query performance for large datasets;
Experience working with ETL pipelines and building data workflows (Airflow, dbt, or similar); understanding how to ensure data quality, reliability, and timely delivery.
Basic Python for data analysis and automation;
Experience with any BI tool (Looker, Superset, Tableau, Power BI, or similar);
Understanding of fundamental statistics, A/B tests, and experimentation concepts (proper test design, power calculation, post-hoc analysis, etc.)
Ability to structure and interpret data, ensuring accuracy and meaningful insights;
Strong communication skills to collaborate effectively with product, marketing, and other teams;
A proactive mindset—someone who enjoys diving into data, identifying trends, and proposing opportunities for growth.
Nice to have: Experience working as a product or data analyst specifically in a subscription-based service (SaaS, mobile subscriptions, OTT, etc.);
Experience running pricing A/B experiments.

Product Analyst – Growth

Key skills