Dropbox is looking to improve key parts of the core product through re-envisioning the home experience, cross-platform experience, user onboarding, and building new functionality and launching high-impact initiatives by partnering with product, engineering, and design teams to answer key questions and drive impact in the Core Experience and Artificial Intelligence (AI) areas.
Requirements
- Significant experience with SQL
- Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
- Solid background in running multivariate experiments to optimize a product or revenue flow
- Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
- Product analytics experience in a SAAS company
- Masters or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
Responsibilities
- Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
- Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
- Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
- Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
- Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward that are grounded in data.
- Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
- Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
Other
- Bachelors or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 8+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
- Strong verbal and written communication skills
- Strong leadership and influence skills
- Competitive medical, dental, and vision coverage
