TradingView

Senior Data Analyst

TradingView·LinkedIn·On-site·On-site·3 months ago

About the role

TradingView is the world's largest financial analysis platform with more than 100M users across 180+ countries.

We build tools that help traders and investors make informed decisions - from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.

We're continuing to grow and scale our platform, and we're looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.

About the team

We are looking for a Data Analyst to help us improve our financial processes. You will dive deep into subscription lifecycles, payment funnels, and pricing strategies, transforming complex financial data into insights that directly impact the company's bottom line.

Responsibilities

  • 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.

What makes you the perfect fit

  • 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.
  • Experience in forecasting business or product metrics

Will be a plus

  • Experience with visualization in Metabase.
  • Experience working with payments and/or accounting data.
  • Ability to explain complex things in simple terms: The capacity to turn large volumes of data into clear recommendations for stakeh…
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