Principal Data Scientist, Confluence Enterprise Experience

Principal Data Scientist, Confluence Enterprise Experience

This job is no longer open

Working at Atlassian

Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Your future team

Product Analytics at Atlassian is an exciting and fast-growing space. At our core, we create value for both our customers and the business by understanding how and why our users use our products. We love to explore and have a lot of fun along the way.

We're hiring a Principal Data Scientist, reporting to the Principal Manager or Product Data Science.

What you'll do

  • You will manage a multi-area within Enterprise platform analytics, with the possibility of having direct reports in the future
  • You will dig deep into both performance and API data and usage data to connect the dots together quickly and communicate insights in a way that persuades action
  • You will have the opportunity to shape the product roadmap
  • Build relationships with strategy business operations to bridge the gap between the team's work to business metrics.
  • You will look at product users to determine how engaged they are with the product
  • Partner with product managers, design and engineers to measure product performance

Your background

  • 5+ years of experience in an engineering/product performance/platform analytics environment.
  • Understanding of front-end engineering practice
  • Expertise in SQL and experience in Splunk/SignalFx
  • Experience with usage data creation process and experience partnering with engineering teams for data tracking
  • Turn complex findings into a compelling narrative and a set of actions
  • Experience influencing decision-making using analytics
  • Background in Engineering or quantitative subject (e.g. Mathematics, statistics, etc)
This job is no longer open
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