Why This Job is Featured on The SaaS Jobs
Dropbox is a mature, product-led SaaS company where analytics typically sits close to both product decisions and go-to-market execution. A Senior Business Intelligence Engineer role in this context signals work that bridges how customers use the product, how the product performs, and how revenue teams interpret those signals—an intersection that is central to modern subscription businesses.
For a SaaS career, the enduring value here is practice in turning behavioral and commercial data into shared operating insight. Building dashboards and self-serve tooling that “democratize” access to metrics is a repeatable skill across SaaS: it forces clarity on definitions, instrumentation, and the difference between correlation and causation. The emphasis on experimentation and applied analytics also maps to common SaaS growth loops, where incremental product changes are evaluated through measurement discipline rather than intuition.
This role suits someone who prefers cross-functional influence over isolated analysis and is comfortable translating between technical data work and business questions. It will fit professionals who enjoy creating reusable data assets, partnering with Product, Marketing, and Revenue stakeholders, and iterating on measurement frameworks as priorities evolve in a subscription environment.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
The Dropbox Data Science team transforms data into powerful insights that inform everything we do at Dropbox. Combining applied analytics techniques with deep business insights, we investigate user behavior, product performance, and market trends to uncover new opportunities for growth, optimization, and innovation. Our work is highly collaborative: we work closely with Revenue, Product, and Marketing teams to enable data-driven development and personalized customer solutions. It’s also highly creative, as we experiment to develop tools and dashboards that democratize insights across Dropbox. If you are driven by solving challenging problems and using the power of data to deliver impactful, user-centered products and services, join our Data Sciences team.
Areas of work include Applied Analytics, Experimentation, Data Engineering, Machine Learning, Business Intelligence, Data Visualization, and Statistical Modeling.
