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 partner with other analysts to help support best-in-class talent acquisition 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 talent acquisition and analytics 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!
On the first day, we'll expect you to have:
- 3-5 years of experience in HR/recruiting analytics or closely related fields
- Proficiency in reading and writing SQL queries
- A strong intuition 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
- Experience translating insights into decisions and actions that have a direct business impact
- Comfort working with remote teammates and remote-friendly workflows
- Experience with at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.
- A willingness to learn and adapt to new technologies and methods as needed
It's great, but not required, if you have:
- Experience with HR and recruiting in high-growth companies
- Experience with scripting and analysis languages (Python, R)
- Experience with Git
- Experience with providing analytics support for recruiters and leadership teams
- Familiarity with statistics and probability