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

Does the challenge of scaling a fast-growing company by powering it with data and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, relevant insights, and recommendations.

We're growing quickly, so you'll need to help define the processes for sustainable growth across the Economy organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this is a great fit!

What you'll do

• Use data to understand complex customer experiences on Atlassian's website (e.g. www.atlassian.com, support.atlassian.com and confluence.atlassian.com). Analyze how customers navigate our website and identify opportunities for improvement.
• Define success metrics and report on KPI for Atlassian's websites. Research and explain trends and their impact on the success of the business.
• Accelerate web experimentation through best practices, tooling and clear recommendations.
• Build instrumentation and web tracking in collaboration with partners and engineers to establish a solid data foundation for this space.
• Collaborate with engineers, marketers & senior leadership to bring data to the forefront of decisions.

Your background

• 5+ years of experience in analytics, data science, or other quantitative fields
• Advanced proficiency in SQL
• Experience defining and auditing web instrumentation requirements and web analytics
• Experience designing and analyzing different types of web experimentation (e.g. A/B testing quasi-experimentation, rollout)
• Experience collaborating with senior management and translating insights into actions
• Ability for creating raw data and analysis into well-written content
• Proficiency with data visualization best practices and tools such as Tableau
• Familiarity partnering with Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teams
• An agile development mentality, appreciating the benefit of constant iteration and improvement