We're looking for a Staff Business Intelligence Engineer to partner with engineering and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. 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- Partner Strategically: Collaborate with Data Science, Product, Marketing, Sales, and Engineering teams to understand their goals and challenges. Your work will directly influence decision-making across the organization.
- Build Solutions: Design, develop, and maintain reliable data pipelines and models that turn raw data into meaningful insights. Your work will simplify complex concepts into user-friendly dashboards and visualizations.
- Drive Impact: Identify trends, diagnose problems, and craft solutions using metrics, reporting tools, and predictive models.
- Ensure Quality: Maintain high standards for data governance, privacy, and security while ensuring data quality and reliability.
- Communicate Insights: Translate data into compelling stories, empowering stakeholders at all levels to take action.
- Prioritization: Understand what matters most and prioritize ruthlessly
- Technical Expertise:
- Advanced SQL with hands-on experience building and optimizing data pipelines.
- Knowledge of data modeling best practices (e.g., dimensional modeling).
- Experience with BI tools such as Tableau, Looker, or PowerBI.
- Analytical Mindset: Strong problem-solving skills and the ability to identify key trends in complex datasets.
- Collaboration Skills: A natural communicator who can translate business needs into technical requirements and technical results into actionable business insights.
- Experience:
- 8-10+ years of experience in data science, data engineering, or a similar field.
- Proven track record of delivering data-driven projects that drive meaningful results.
- Familiarity with cloud environments like Snowflake or Databricks is a plus.
- Education: Bachelor’s degree in a quantitative field like Computer Science, Engineering, Math, Statistics, or Economics. Master’s degree is a plus.
- Master’s or Ph.D. Degree in a quantitative field
- Experience with predictive modeling, Machine Learning, and A/B Testing methods
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What We Do
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 flexibility 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.
Why Work With Us
We believe people do their best work when empowered with autonomy and harmony, and we understand there’s no substitute for human connection. Our Virtual First model combines the flexibility of remote work with the power of in-person collaboration to create the best of both worlds: a distributed workplace, anchored in community.
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Employees work remotely.
While remote work is the primary experience for our employees, we also prioritize opportunities for quarterly in-person collaboration knowing that connection is vital to a thriving workforce. We focus on how we work, not where we work.
