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.

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 best-in-class 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 and Data Science organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, then this role could be a great fit!

We're looking for a Senior Manager with strong technical and leadership skills to lead our Performance Marketing Data Science team. I

In this role, you will:

• Partner with one of Atlassian's most data driven teams to measure performance and identify opportunities within Paid Advertising, Content Marketing & Email.
• Apply creative analytical problem solving skills to a wide variety of questions to deepen our understanding of marketing channel effectiveness.
• Work cross functionally with Data Engineering, Machine Learning and Operations teams to bring data to the forefront of marketing decision making.
• Build and lead a high performing team of data scientists (team of 5 today with significant growth planned).

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

• 6 + years of experience in analytics or closely related fields
• 2 + years of experience managing teams
• A passion for building analytics frameworks to measure new and open ended business strategies
• Experience with marketing measurement techniques including channel attribution, lifetime value/mROI and incrementality testing.
• A proven track record for crafting raw data and analysis into well-written and persuasive content
• The ability to prioritize your time wisely against multiple competing projects and requests
• Comfort with structuring and coaching others to work through open-ended business questions through analytics
• Advanced proficiency in SQL
• A willingness to learn and adapt to new technologies and methods as needed

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

• Experience with at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.
• Experience with scripting and analysis languages (Python, R)
• Familiarity with statistics and probability