Data Analyst

About the team

The Business Intelligence team at Cloudflare is responsible for building a centralized cloud data lake and an analytics platform that enables our internal Business Partners and Product teams with actionable insights and also provides a 360 view of our business. Our goal is to democratize data, support Cloudflare’s critical business needs, provide reporting and analytics via self-service tools to fuel existing and new business critical initiatives.

About the role

We are looking for an experienced Data Analyst to join our Austin or Lisbon teams to scale our product insights initiatives. You will work with a wide array of datasets to analyze and build interactive reports and self-serve dashboards which will influence our critical business initiatives and will provide actionable insights to Sales, Marketing and Product teams.

Success in this role comes from marrying a strong data background with acute product and business acumen to deliver highly strategic and compelling insights that accelerate our business growth and influence our product decisions within Cloudflare.

What you’ll do

  • Provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization
  • Partner and align with data engineers, data analysts, data scientists, business leaders, stakeholders, product managers and internal teams to enable data driven solutions to key business problems
  • Take initiative and ask questions to iteratively define, build, and maintain new business metrics
  • Develop and automate reports and iteratively build and prototype dashboards to provide insights at scale
  • Weave stories with data to help stakeholders understand analytic insights

Examples of desirable skills, knowledge and experience

  • B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
  • 3+ years of experience with data visualization tools such as Tableau, Google Data Studio etc. 
  • Experience in writing advanced SQL queries
  • Experience in translating analysis results into business recommendations and business questions into an analysis framework
  • Knowledge of data management, data modeling and data warehousing fundamentals
  • Experience in presenting analysis findings to business stakeholders
  • Experience with statistical analysis programming languages (R, Python, etc)