Responsibilities include:

• Provide actionable insights from the growth experiments
• Understand core drivers of engagement to segment customers into meaningful and actionable cohorts
• Bring a scientific approach to our hypothesis generation and experimental design
• Answer business-related questions through exploratory data analyses and ad-hoc reporting that drives acquisition, activation, retention, and monetization
• Analyze user behavior to inform design and product decisions
• Define proper measurable metrics/variables for analyzing a business problem and provide actionable recommendations
• Collaborate across teams in the organization to improve data-driven decision making
• Build data visualizations used by the Growth and Leadership teams

Skill(s):

Required

• SQL
• Python
• Experience in working with data and conducting statistical and/or numerical analysis
• Understanding of how to design experiments in a rigorous and statistically significant way
• Detail-oriented with the ability to translate quantitative and qualitative data into solid customer insights
• An effective communicator who is able to express sophisticated concepts effectively, able to tell a good story, and support it with numbers and visuals

Good to have

• Experience with Business Intelligence tools such as Looker or Tableau with Looker preferred

Qualification Required:

• BS or MS Degree in Computer Science, Engineering, Economics, Mathematics, Statistics, or a similar quantitative field