Senior Marketing Data Scientist Partnerships at Atlassian

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. 
Do you have a passion for crafting products and insights with data? Do you love finding the next big ‘aha’ that 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 Senior Data Scientist, Partnerships, to join our Marketing Analytics team. We’re seeking someone with strong business instincts, creativity and analytics mastery who is passionate about applying these skills to build data and analytics foundations that drive smarter product decisions and ultimately delight our customers.
Partnerships, specifically technology partners, are industry peers with products that complement the Atlassian product suite. Through integrations that unlock combined use cases, our customers are able to accomplish more with their teams from these ‘better together’ capabilities. You’ll be responsible for working with our Marketing, Partnerships, and Product Integrations teams to measure success of rich partnerships and integrations between Atlassian products and popular services such as AWS, Slack, Zoom, Okta, Google, Microsoft, and others (examples appear in Atlassian’s recent investor letter). These partnerships help drive customer acquisition and growth and you’ll play a pivotal role in the company's future success.
In this role you'll get to:
Develop comprehensive program views of go-to-market performance by defining customer journeys, measuring partnership performance and making strategic recommendations for improvementCollaborate with analytics and product leaders to identify high impact opportunities for analysis and align analytics & data science priorities with the company strategy and marketing roadmapDrive the measurement culture and understand the impact our partnership marketing strategyEnvision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights and recommendations to various levels of leadership to drive critical business decisionsBe part of building an outstanding analytics culture at Atlassian. Lead 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:
Proven experience applying your analytics skills to projects which have had a positive impact to company level business decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA very high bar for output quality, balancing “having something now" vs. "perfection in the future"Strong ability to communicate, explaining complex concepts to diverse audiences, and crafting compelling storiesFamiliarity working with Product Marketing, Customer Research and Data Engineering teamsExpertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny)A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's great, but not required, if you have:
Previously worked in global teams and high growth companiesAn understanding of B2B marketing, business model and metrics Exposure to two-sided marketplaces Experience in customer and/or product analytics, particularly in delivering outputs which can be used to advance analytics projects across an organizationExperience in building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science community#LI-AW1