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Company Description
Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working. We're a global community of bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself— Dropbox is ready for you.
Team Description
The Dropbox Finance Team creates the financial infrastructure that powers our growth and scales our business. We combine analytical precision with bold thinking to build sustainable value for our company and stakeholders. More than traditional accountants, auditors, and finance managers, we're strategic partners who craft the financial architecture that enables innovation. Working closely with internal teams and external partners, we continuously look for ways to drive business impact while maintaining trust, accuracy, and rigor in everything we do. If you're ready to own your impact on Dropbox’s financial future, join our Finance team. Accounting, Sales Finance, Procurement, Audit, Financial Planning & Analysis, Tax, and Revenue Operations.
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
- 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
- Advanced degree (Masters or PhD) in a quantitative discipline such as Statistics, Data Science, Economics, or a related field.
Canada Pay Range
$117,700—$159,300 CAD
The range listed above is the expected annual salary/OTE for this role, subject to change.
Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
Benefits
Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families. Our benefits and perks programs include, but are not limited to:
- Competitive medical, dental and vision coverage*
- Retirement savings through a defined contribution pension or savings plan**
- Flexible PTO/Paid Time Off policy in addition to statutory holidays, allowing you time to unplug, unwind, and refresh
- Income Protection Plans: Life and disability insurance*
- Business Travel Protection: Travel medical and accident insurance*
- Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food & groceries, and much more
- Parental benefits including: Parental Leave, Fertility Benefits, Adoptions and Surrogacy support, and Lactation support
- Mental health and wellness benefits
- Where group plans are not available, allowances may be provided
- Benefit, amount, and type are dependent on geographical location, based upon applicable law or company policy