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.
Are you an analytics champion with a deep toolset who thrives on helping business partners strategize, implement and measure data-driven initiatives? Do you relish the opportunity to dive headfirst into vast, high-impact projects and make foundational contributions across analytics, strategy and operations? If so, this role is for you!
As a Senior Data Scientist, Workforce Analytics on our Customer Support Services (CSS) team, you will partner closely with key business leads, focus on some of the most exciting challenges Atlassian faces.
Some examples of what you will be doing:
- Work closely with finance, product, and CSS leadership team
- Be responsible for predictive modeling and analyses of workforce data: workforce growth, organization structure, and talent management
- Own and drive improvement of inbound business volume forecasting; working with Operations partners to better enable staffing, training, and optimization of resources
- Own and enhance predictive pipelines and advanced analytic tools support CSS Workforce Management forecasting and allocation
- Key contributor to workforce planning strategy which is critical to Atlassian customer support experience
- Work closely with Data Engineering team on measurement and data instrumentation maturity
Some examples of the skills and tools you'll use are:
- Analytics: Statistics, predictive modeling, advanced analytics, metrics and measurement, ETL automation, and data pipelines, data story telling
- Tools: SQL, Tableau, R / Python, Excel, etc.
- Collaboration: Confluence, Jira