Product Data Analyst

Responsibilities:

• Synthesize complex data analyses and communicate clearly and effectively to stakeholders across the organization, such as the exploration and analysis of user behaviors  LTV modeling, and churn analysis, as examples, to drive actionable insights.
• Identify opportunities most important for growth to remove barriers for product adoption, retention, engagement and partner with growth-focused teams to execute on projects.
• Understand funnels, ecosystems, user behaviors, and long-term trends in the adoption of our products for both creators & consumers to identity opportunities for step-changes.
• Craft compelling dashboards and visualizations to “tell the story” of the business.
• Continually evaluate and refine your technical toolkit; teach what you learn to the team.
• Thrive and excel in tackling ambiguous problems and showcasing creative and innovative solutions.
• Approach problems with various degrees of agility and focus on output → you are solutions and results oriented and strive to empower peers, stakeholders, and leaders.
• Apply common statistical methods, data modeling, and predictive analysis to answer strategic questions for the business.

Key Skills:

• Knowledge of the product management tools.
• Proficient in data collection tools and databases, such as Microsoft Excel and Google Analytics.
• Strong communication skills.
• Strong presentation skills.
• Ability to work under pressure.

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