Experience: 5+ years
Speak is looking for a person who is passionate about and fully dedicated to learning about how users engage with our apps. This individual will be critical for helping create hypotheses and finding insights that allow the team to build a better product and grow the business. Our fourth product analytics hire will grow our data-driven culture at Speak by empowering team members to use data in their respective roles.
In this role, you will own specific verticals within analytics and testing infrastructure and be a key thought partner to leadership and the whole product development organization.
- Drive product strategy by proposing and conducting quantitative research into key user behaviors and trends, in partnership with product managers, engineers, designers, and other team members
- Design new features and inform the product roadmap through analysis, e.g., help define metrics for every stage of the user journey (onboarding, conversion, engagement, retention)
- Build and maintain company-level product and business dashboards
- Design and analyze A/B tests, market-based tests, etc. and conduct other forms of causal inference to help us rigorously learn about our users
- Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
- 5-10 years of experience using analytics to drive key product business decisions
- Hands-on experience applying AI/LLM tools to analytical tasks such as data synthesis, hypothesis generation, and productivity acceleration
- Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression and decision trees
- Solid background in running multivariate product experiments to optimize a product or revenue flow
- Proven track record of working autonomously and proactively engaging with business stakeholders
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