Product Analyst, Paper

Product Analyst, Paper

This job is no longer open

Company Description

Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.

Team Description

Our Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there’s plenty of space for you to grow alongside us and simplify life for millions of people around the world in team that always focuses on we, not I, and creates delightful products that are worthy of trust.

Role Description

We’re looking for a Product Analyst to help drive insights for the Paper team, Dropbox’s collaborative editor. Paper is a part of the AMP organization, whose mission is to take bold, long-term risks to discover tools that help people make meaningful progress against their priorities. The tools will create (rather than disrupt) states of flow and focus, unlocking new levels of cognitive productivity.

This person will own getting Paper’s analytics into shape. They will play a crucial role in deriving learnings about current customer behavior, as well as drive insights that lay the foundation of the strategy for the future—the “Paper 2.0”. They will partner with a tight-knit cross-functional product team searching for product-market-fit, help set the team up for quick experimentation and learn from it.

An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, end-to-end funnel analysis, and business operations for a SaaS product. They should also be able to distill complex data analyses into compelling storytelling for executive leadership.

Responsibilities

  • Develop a deep understanding of the product; define the key metrics that will guide the team in the early phases of identifying product market fit.
  • Develop a 360 degree perspective on the data needs for the products from logging, to dashboarding, to creating recommendations to drive change in production.
  • Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
  • Create propensity models to enable targeting of users within the existing Dropbox user base.
  • Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
  • Identify key trends and build executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
  • Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets 
  • Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
  • Understand what matters most and prioritize ruthlessly

Requirements

  • Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
  • 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
  • Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
  • Significant experience with SQL and large unstructured datasets such as Hadoop
  • Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
  • Solid background in running multivariate experiments to optimize a product or revenue flow
  • Strong verbal and written communication skills
  • Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus

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, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).

This job is no longer open
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