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Product Analyst

Dropbox | Seattle, WA, USA


Team Description

The Product Analytics team is focused on using data to help make better decisions about our products. Data is a critical part of our product development process, and Product Analysts are their chief advocates. We are responsible for ensuring that data is trustworthy and correct, finding insights from the data, and making an impact through data-informed decisions. We work across the entire product development timeline, from early data explorations about user behavior to multivariate experiments and optimizations on mature products.

Role Description

We are looking for Product Analysts who can jump in and make an impact quickly. Product Analysts can expect to set up and analyze A/B tests for new experimental features, generate and size opportunities to prioritize features, and define key performance metrics for the team. As this small team continues to grow there's also an opportunity to help shape and guide it's expansion through mentorship and advocacy across the company. We hope you'll join us!


  • Working with engineering to implement, document, validate, and monitor our logging and metrics

  • Creating simple, trustworthy data pipelines and automated reporting to surface key metrics

  • Identifying, translating, prioritizing, and informing important product questions with data

  • Exploring data to find actionable insights and make product recommendations through funnels, cohort analyses, long-term trends, user segmentation, regression models, and more

  • Setting up, analyzing, and promoting best practices for multivariate experiments

  • Synthesizing and communicating insights during the product development process

  • Empowering and teaching others to work effectively and efficiently with data

  • Building a data-informed culture at Dropbox
  • Requirements

  • Degree in Math, Physics, Statistics, Economics, Computer Science, or other quantitative fields

  • 3+ years experience doing quantitative analysis for a technology company

  • Fluency in SQL, as well as a solid understanding of statistical analysis, experiment design, and common pitfalls of data analysis

  • Self-starter: You drive projects with minimal guidance and focus on high impact work

  • Strong communicator: You effectively synthesize, visualize, and communicate your ideas to others

  • Critical thinker: You are thoughtful, self-aware, and use available evidence to make decisions

  • Collaborative: You work effectively with others and win credibility quickly

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