Senior Business Intelligence Engineer

November 4

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Dropbox

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Cloud Storage • Enterprise • Productivity

Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.

1001 - 5000 employees

Founded 2007

🏢 Enterprise

⚡ Productivity

📋 Description

• 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

🎯 Requirements

• 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.