Fastly-posted 4 months ago
$155,370 - $186,444/Yr
Full-time • Senior
Denver, CO
Professional, Scientific, and Technical Services

Fastly helps people stay better connected with the things they love. Fastly's edge cloud platform enables customers to create great digital experiences quickly, securely, and reliably by processing, serving, and securing our customers' applications as close to their end-users as possible — at the edge of the Internet. The platform is designed to take advantage of the modern internet, to be programmable, and to support agile software development. Fastly's customers include many of the world's most prominent companies, including Vimeo, Pinterest, The New York Times, and GitHub. We're building a more trustworthy Internet. Come join us.

  • Collaborate and partner with executives, stakeholders, and decision-makers to prioritize, design, and fulfill their data analytics needs for both technical and non-technical audiences.
  • Transform concepts and shape data into a compelling story mapped to business goals and outcomes.
  • Drive exploratory analysis to test theories, define future projects, and build roadmaps for product analytics.
  • Promote and drive a self-service data culture by building self-service dashboards and other tools that will enable stakeholders to understand and delve into data for trends and actionable insights.
  • Manage the lifecycle of your data projects, from planning through execution and delivery, communicating progress and risks along the way.
  • 6+ years professional experience in Data Analytics.
  • Experience with data visualization tools (ie. Looker, Tableau, Mode).
  • Experience with any cloud data warehouse technologies and other cloud technologies like Google Cloud, AWS or Azure.
  • Proficient SQL user, and comfortable using Python.
  • Hands-on experience building functional and user-friendly data products (data models, dashboards, etc.) for both technical and non-technical stakeholders.
  • Ability to collaborate with and manage a variety of stakeholders.
  • A history of putting structure around ambiguity.
  • Formal education in research statistics, experimental design, data science.
  • Experience working in a Tech Product organization.
  • Hands on experience with BigQuery and dbt.
  • Experience presenting to executives and leadership.
  • Ability to independently plan and execute on multiple strategic initiatives or research projects.
  • Functional knowledge of financial, sales, or other core business metrics.
  • Comprehensive benefits package including medical, dental, and vision insurance.
  • Family planning, mental health support along with Employee Assistance Program.
  • Insurance (Life, Disability, and Accident).
  • Flexible Vacation policy and up to 18 days of accrued paid sick leave.
  • 401(k) (including company match) and an Employee Stock Purchase Program.
  • 11 paid local holidays, 11 paid company wellness days.
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