Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Are you an analytics champion with a deep toolset who thrives on helping business partners strategize, understand, visualize and measure data-driven initiatives? Do you relish the opportunity to dive headfirst into large, end-to-end projects and make contributions across analytics, strategy and operations? Are you energized working closely with the business to turn data into beautiful, high impact visualizations to power leadership decisions? If so, this role is for you! As a Senior Data Scientist on our Team, you will partner closely with key business leads, focus on some of the most exciting challenges Atlassian faces. In this role you will: Work with a strong group of data scientists as we advance our core data artifacts to the next level (Tableau, Redash, etc.) functionally, aesthetically and operationally Develop strong collaborative partnerships with business and operations leaders Provide technical expertise in data visualization, deep business acumen, stakeholder engagement and operational insights via analysis Work with a cross functional team to drive improvement and efficiency in a rapidly scaling and dynamic customer support environment, bringing analytic capabilities and insights to bear Use compelling data, deep business acumen and exceptional communication to drive business strategy and execution Address business challenges, performance bottlenecks and growth opportunities with analytic solutions Propose rapid experiments or A/B tests to assess the effect of new strategies or initiatives, and iterate quickly Play the role of analytic visualization expert in cross functional teams, focused on measurement of new strategies or initiatives, sizing of opportunities, and understanding of complex systems; always with a mind towards actionable insights and business impact Some skills and tools you'll use are: Analytics: Data visualization, Statistics, data distributions, summary/aggregation methods, operational metric development, ongoing OKR measurement Tools: SQL, Tableau, R / Python, Excel, etc. Collaboration: Confluence, Jira
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Job Type
Full-time
Career Level
Mid Level