- Develop and maintain product growth models to forecast and optimize company revenue streams based on a data-constrained environment (i.e. leveraging external as well as internal info and reliable proxies).
- Create product growth models across a multi-product environment, and recommend strategies to drive product adoption and expansion.
- Analyze product performance and market trends to identify growth opportunities.
- Collaborate with cross-functional teams to implement data-driven decisions for revenue and product growth.
What you’ll bring:
- Bachelor’s degree in Business, Statistics, Economics, or a related quantitative field.
- Minimum 10 years of experience in product growth/revenue modeling and growth analytics.
- Proficiency in statistical analysis and data visualization tools (e.g., Python, R, Tableau).
- Demonstrated experience in cross-company collaboration, working with complex data sets, limited data and driving products and the company forward from a business perspective.
- Strong communication and presentation skills; translating data into valuable business insights.
- Experience running and analyzing A/B tests.
- Excellent quantitative and qualitative skills, you are able to break down highly complex problems involving large amounts of data.
- Strong storytelling skills and ability to tailor data and insights to different audiences.
- Strong project management capabilities and ability to drive multiple work streams of varying complexity.