Staff Business Intelligence Engineer, Dropbox

• 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
• 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

Desirable

• 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
• 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
• 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