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Role Description
Dropbox is building a world class Finance organization driven by data & analytics. The Revenue & Growth Finance team delivers quantitative forecasts & analytic insights that drive the strategy & growth of the entire company. We're looking for a Data Scientist to partner with finance & product teams to answer key questions about how to grow revenue, optimize product, scale & monetize the business, & launch high-impact initiatives. An ideal candidate should have robust knowledge of consumer lifecycle & behavior analysis, customer segmentation, digital campaigns, monetization analytics & business operations for a SaaS company.
Responsibilities
- Develop a deep understanding of customer journey phases & key business metrics
- Perform analytical deep-dives to analyze problems & opportunities, identify the hypothesis & design & execute experiments
- Inform future experimentation design & roadmaps by performing exploratory analysis to understand user engagement behavior & derive insights
- Create personalized segmentation strategies leveraging propensity models to enable targeting of offers & experiences based on user attributes
- Identify key trends & build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, & engagement trends.
- Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
- Translate complex concepts into implications for the business via excellent communication skills, both verbal & written
- Ensure data integrity & compliance with regulatory & internal policies.
- Work with cross-functional teams (including Finance, Data Science, Engineering, Product, Engineering, User Research, & senior executives) to rapidly execute & iterate
Requirements
- Bachelors or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 5+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
- Proven track record of being able to work independently & proactively engage with business stakeholders with minimal direction
- Significant experience with SQL & large unstructured datasets
- Deep understanding of statistical analysis, modeling, & common analytical techniques like regression
- Strong analytical thinking, problem-solving skills, & attention to detail
- Excellent communication skills with the ability to articulate complex data concepts clearly to diverse stakeholders
- Proficiency in Python, R, SQL, & familiarity with data visualization tools such as Tableau or Power BI
Preferred Qualifications
- Advanced degree (Masters or PhD) in a quantitative discipline such as Statistics, Data Science, Economics, or a related field.
Compensation
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