Senior Business Intelligence Engineer, Dropbox

• A passion for creating accessible and intuitive data models. Knowledge of data warehouse modeling best practices and tradeoffs (dimensional data modeling, Kimball, Inmon, etc.)
• An obsession with data quality and cleanliness
• A knack for crisp, self‑serve data products (such as dashboards) that tell a story and drive action
• A drive to make partners successful—their problems are your problems
• Proficiency in 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
• 6+ years of experience in analytics, 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
• Bachelor’s degree in a quantitative field like Computer Science, Engineering, Statistics, or Economics. Master’s degree is a plus

Desirable

• We're looking for a 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
• You are not simply a dashboard developer
• You’ll build trusted semantic layers and operational reporting, enable self‑serve analytics, and partner with business owners translate ambiguous questions into structured, measurable problems and roadmaps
• Your’ll partner directly with business owners and data partners and your work will be used from org to the C‑suite
• Partner Strategically: Collaborate with 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
• Enable self‑serve: build and maintain executive and team dashboards and data products that reduce ad‑hoc and increase decision speed
• 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 business needs into technical requirements and explain results to non‑technical audiences, empowering stakeholders at all levels to take action
• Prioritization: Understand what matters most and prioritize ruthlessly