Role Description

We’re looking for a Business Intelligence Manager to lead a high-impact analytics team that partners with Product, Engineering, Finance, and Go-to-Market to drive insights, scale operations, and inform strategic decisions.

This is a hybrid leadership role that blends analytics, people management, and operational excellence. You’ll be responsible for guiding the team’s roadmap, improving how we prioritize and execute analytics work, and helping senior leadership plan and track progress on key business initiatives. You’ll also act as a trusted partner to the Director of Analytics—helping connect the dots across planning, performance reviews, and stakeholder communication.

An ideal candidate is both technically strong and operationally savvy: equally comfortable optimizing a data model as they are leading a quarterly business review or defining the analytics strategy for the next planning cycle.

Responsibilities

• Build, mentor, and manage a high-performing Business Intelligence team—defining clear goals, coaching for growth, and fostering a collaborative, impact-oriented culture.
• Define the BI strategy and roadmap in partnership with the Director of Analytics and cross-functional leadership.
• Drive alignment between analytics priorities and company objectives.
• Manage the team’s Jira process and analytics pipeline, ensuring requests are efficiently triaged, prioritized, and tracked from intake to delivery.
• Identify and implement process improvements to make team operations more scalable and proactive—shifting focus from ad hoc requests to strategic, high-leverage work.
• Maintain a centralized repository of analytics projects and deliverables, ensuring visibility and accountability across leadership and stakeholders.
• Partner closely with the Director of Analytics to support quarterly business reviews, planning cycles, and goal-setting processes.
• Help prepare performance metrics, dashboards, and summaries for business and strategy reviews.
• Collaborate on writing planning documents, filling in key metrics, and synthesizing input from across the business.
• Proactively connect with stakeholders to gather updates, align expectations, and communicate progress.
• Partner strategically with cross-functional teams to translate business challenges into analytical questions and actionable insights.
• Oversee development of data models, pipelines, and visualizations that empower stakeholders to make data-driven decisions.
• Maintain high standards for data quality, governance, and documentation.
• Champion storytelling through data—helping teams understand not just what the data says, but why it matters.

Requirements

• 8–10+ years of experience in Business Intelligence, Analytics, or Data Engineering, including at least 2–3 years managing analysts or BI engineers.
• Proven success leading analytics initiatives that drive measurable business impact.
• Experience managing team operations, prioritization systems (e.g., Jira), and project pipelines.
• Advanced SQL skills and strong familiarity with BI tools (e.g., Tableau, Looker, Power BI).
• Deep understanding of data modeling best practices and data warehouse design.
• Experience in cloud environments (e.g., Snowflake, Databricks) is a plus.
• Strong communication and storytelling skills—able to simplify complex data into clear business narratives.
• Excellent organization, prioritization, and stakeholder management skills.
• Strategic thinker with a hands-on mindset; thrives in a fast-paced, collaborative environment.
• Highly detail-oriented and comfortable juggling multiple cross-functional initiatives.
• Bachelor’s degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, Economics, or related).
• Master’s degree is a plus.

Company Description

Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working. 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 autonomy 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.

Team 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.

Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, enABLE, TODOS (Latinx), Pridebox (LGBTQ), Vets at Dropbox, and Women at Dropbox.