Offer summary

Qualifications:

Bachelor's degree or higher in Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field., At least 5 years of experience using analytics to inform business decisions, including business, product, or marketing analytics., Proficiency in SQL and handling large, unstructured datasets., Strong knowledge of statistical analysis, modeling, and analytical techniques like regression..

Key responsibilities:

Analyze customer journey phases and key business metrics.

Perform deep-dive analyses and design experiments to identify opportunities.

Create segmentation strategies using propensity models for targeted offers.

Develop automated reports and dashboards to monitor trends in acquisition, monetization, and engagement.

Job description

Role Description

Dropbox is building a world class Finance organization driven by data and analytics. The Revenue and Growth Finance team delivers quantitative forecasts and analytic insights that drive the strategy and growth of the entire company. We're looking for a Data Scientist to partner with finance and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.

Responsibilities

Develop a deep understanding of customer journey phases and key business metrics
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.
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 and written
Ensure data integrity and compliance with regulatory and internal policies.
Work with cross-functional teams (including Finance, Data Science, Engineering, Product, Engineering, User Research, and senior executives) to rapidly execute and 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 and proactively engage with business stakeholders with minimal direction
Significant experience with SQL and large unstructured datasets
Deep understanding of statistical analysis, modeling, and common analytical techniques like regression
Strong analytical thinking, problem-solving skills, and attention to detail
Excellent communication skills with the ability to articulate complex data concepts clearly to diverse stakeholders
Proficiency in Python, R, SQL, and familiarity with data visualization tools such as Tableau or Power BI