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.

Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, actionable insights, and strong recommendations. We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the marketing organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong this could be a great fit!

In this role, you'll get to:

• Establish measurement methodologies to understand the value of email as a channel that contributes to acquisition, onboarding, cross sell and retention. Build business cases for investing additional resources into the email program.
• Use experimentation methodologies, control groups etc. to measure the impact of email campaigns and suggest improvements to marketers.
• Collaborate with our audience targeting and segmentation team to ensure customers are receiving consistent and meaningful messages.
• Work with our Marketing Engineering and Data Engineering teams to improve the tools and data sets we have for the email channel.
• Build & enhance reporting for marketers to monitor the performance of the email channel.

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

• 5-7 years of experience in analytics
• 1-2 years of experience in email marketing 
• Advanced proficiency in SQL
• A strong intuition for crafting raw data and analysis into well-written and persuasive content
• The ability to juggle multiple projects and priorities
• Experience collaborating with senior management and translating insights into decisions and actions
• Comfort operating in ambiguous, fast-changing environments
• Proficiency in at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.
• Proficiency in at least one marketing automation tool such as Market, Eloqua, Exact Target, etc.
• A willingness to learn and adapt to new technologies and methods as needed

It's great, but not required if you have:

• Experience working in a global environment with remote teams
• Experience with scripting and analysis languages (Python, R)
• Experience with Git
• Experience with providing analytics support for multi-channel campaigns
• Deep knowledge of statistics and probability
• An advanced degree in a quantitative discipline, such as statistics, economics, mathematics, or computer science