Senior Product Analytics & Experimentation Lead

Binance.US

United States

Remote

USD 140,000 - 165,000

Full time

14 days+
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Benefits offered by this job

Unlimited PTO
Mental wellness benefits
Remote-first culture
Professional development budget

Job summary

Binance.US is seeking a Senior Product Analyst to drive product analytics and experimentation for consumer-facing products. You will partner with product managers, engineers, and business leaders to understand user behavior and translate insights into tangible product changes that impact conversion, retention, and revenue.

The role emphasizes hands-on data science, rigorous experimentation, and the creation of dashboards and KPIs to monitor performance.

Qualifications

  • 4+ years of experience in Data Science, Product Analytics, or a related role in a consumer-facing tech company.
  • Hands-on experience designing and analyzing A/B tests that improved metrics like revenue, ARPU, retention.
  • Strong understanding of experimental design, statistics, and causal inference.
  • Deep experience analyzing user funnels, cohorts, lifecycle metrics, and journeys.

Responsibilities

  • Own and drive end-to-end product analytics for key consumer-facing products and initiatives.
  • Conduct deep-dive analysis on user behavior, funnels, cohorts, and journeys to identify growth opportunities.
  • Design, execute, and analyze A/B and multivariate experiments to evaluate product, UX, pricing, and growth initiatives.
  • Translate complex analytical findings into clear, actionable recommendations for stakeholders.
  • Develop and maintain key product KPIs, dashboards, and monitoring metrics.

Skills

SQL
Python
A/B testing
Product analytics
Data visualization
Experiment design
Data science

Tools

Tableau

Job description

Binance.US is seeking a Senior Product Analyst to drive product analytics and experimentation for consumer-facing products. You will partner with product managers, engineers, and business leaders to understand user behavior and translate insights into tangible product changes that impact conversion, retention, and revenue.

The role emphasizes hands-on data science, rigorous experimentation, and the creation of dashboards and KPIs to monitor performance.

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