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.

Product Analyst, Growth

Key skills