Drive Revenue Growth: Analyze the subscription lifecycle (acquisition, retention, churn) to identify opportunities to increase key metrics: Revenue, Paid subscribers, LTV, and ARPU.
Optimize Payment Funnels: Monitor and analyze the checkout process, payment provider performance, and conversion rates across different regions and currencies.
Support Monetization Strategy: Conduct research on price elasticity, promotional offer effectiveness, and regional pricing strategies to maximize profit.
Financial Monitoring: Build and maintain reliable dashboards in Metabase to track key metrics and enable informed business decisions.
Requirements
Strong proficiency in SQL: Complex aggregations and window functions.
Python programming skills: Good command of Pandas at a minimum
Understanding of the SaaS model and its metrics.
Work experience: 1+ years in financial or data analytics.
Ability to explain complex things in simple terms: The capacity to turn large volumes of data into clear recommendations for stakeholders.
Will be a plus: Experience with visualization in Metabase.
Experience working with payments and/or accounting data.
Fintech background: Understanding the specifics of the trading industry or financial markets.
Tech Stack
Pandas
Python
SQL
Benefits
Flexible working hours and a hybrid work format
Well-equipped offices for focused and collaborative work