Manager, Data Science, Product Analytics

Manager, Data Science, Product Analytics

This job is no longer open

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!

Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?

We’d love you to join us!

We are looking for a manager to join our Product Analytics team, working with teams in Australia and the US. We’re seeking someone with strong business instincts, management experience, creativity and analytics mastery. Someone who is passionate about applying these skills to lead an analytics team, drive smarter product decisions, and ultimately delight our customers.

You will be part of Atlassian’s Accelerator organization whose mission is to accelerate the growth of Atlassian through new users and new products. As a leader, your peers will rely on your expertise and you will play a major role in driving initiatives that keep Atlassian at the forefront of world-class analytics and data science.

In this role you’ll get to:

  • Work with product leaders to identify high impact opportunities for analytics and data science and align priorities with the product roadmap
  • Lead a team of data scientists to identify, scope, and execute projects by collaborating with partners, customer research, data engineers and other analysts
  • Play with our seriously large volume of analytics data to understand trends, find opportunities and make recommendations to improve user journeys and customer value
  • Be a part of building a world-class analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions

On the first day, we'll expect you to have:

  • Extensive proven experience applying your analytics skills projects which have had a positive impact on strategic and product roadmap decisions
  • An agile development mentality, appreciating the benefit of constant iteration and improvement.
  • A very high bar for output quality, while balancing “having something now" vs. "perfection in the future"
  • Strong ability to communicate and influence, crafting compelling insights, explaining data science concepts to diverse audiences, and impacting decisions
  • Familiarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teams
  • Expertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)
  • Strength in one or more visualization tools (Tableau, R-Shiny, etc)
  • An understanding of the SaaS development, business model and metrics
  • Experience in A/B experimentation
  • A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)

It's a bonus, but not required, if you have:

  • Previously worked in global teams and high growth companies
  • Are an active member of the broader analytics and data science community
This job is no longer open
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