Senior Data Scientist, Workforce Analytics

Overview

Working at Atlassian

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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Responsibilities

Responsibilities

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 Talent Acquisition team, you will partner closely with key business leads, focus on some of the most exciting challenges Atlassian faces.

Responsibilities

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

• Address business challenges, performance bottlenecks and growth opportunities with analytic solutions

• Playing 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: Tableau, SQL, Redash, R / Python, Excel, etc.

• Collaboration: Confluence, Jira

Qualifications

Background:

• You've been working with data for 5+ years and have a BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative field.

• You have experience in building business impacting analytic solutions and experience using data to influence business and operational teams. 

• You’re know for producing clean, clear data visualizations that power decisions for senior stakeholders.

• You have strong communication skills (non-technical) and core tech skills.

• You love collaboration, working with other smart data professionals and acting both as a student and teacher with team members.

• To keep pace with our rapid growth you enjoy and are capable of learning new things quickly. You can take an ambiguous assignment and move rapidly to deliver iterative value. You use multiple tools and methods to find trends and correlations by mining data, and couple that with intuition and light-weight tests to prioritize how to drive forward on complicated problems.

• You have strong business acumen, love driving strategy, making big changes, and influencing others. You have a history of driving measurable impact in close collaboration with operational colleagues.

• You combine curiosity with critical thinking and good judgment, and like asking "why" to unravel a seemingly complex problem and get to the root cause.

• You know how to gather, document, and interpret business requirements; always knowing how to ask the ‘why’ underpinning all requests.

• You’re a senior ‘pillar of the team’, confident in your business acuity, analytics expertise and communication / coordination skills to push through ambiguity and up-skill those around you.

• When you encounter a problem you come up with multiple solutions, weigh the tradeoffs and efforts, identify the best path forward, and exercise good judgment to drive ahead.

Qualifications

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline