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

At Atlassian, our mission is to unleash the potential of every team. Every day, millions of people and thousands of teams use our products including Confluence, Trello, Jira Software and Jira Service Management to collaborate. To reach every team, our future growth goals rely on increasing new customer signups and reducing existing customer churn. You will play an important part in achieving that ambition, using data and analytical insight to better understand our customer funnel and purchase journey, identifying new growth levers and informing future product roadmaps.

What you'll do

• Use standard and advanced analytics techniques on complex and imperfect data to a high analytical standard
• Build trusted relationships across analytics, product and strategy teams.
• Define analytics project plan and complete it, making tradeoff calls based on capacity, effort required and other priorities
• Shape experimentation roadmaps and strategy
• Design A/B tests
• Analyze new cross-product product features with a growth lens
• Identify new opportunities for customer and user growth and retention
• Transform business problems into a set of analytics projects using an appropriate technique, and communicate results in a meaningful story with relevant insights
• Contribute to our team and culture such as contributing to QA reviews, mentorship and brainstorming sessions
• Build stakeholder relationships and understand core problems to direct attention and ensure project align with partner priorities.

Your background

• 5+ years of experience working in data analysis, statistics or related fields
• Expertise in SQL (or another data query language) to manipulate large and complicated data for custom and ongoing analyses
• Proficiency in at least one visualization tool (e.g. Tableau, Dash) to share insights
• Proficiency in one of Python or R for data science applications and associated packages
• Project management skills, including project plan execution