Job role: Senior Data Scientist – Workforce Analytics
Company name: Atlassian
Location:Remote, USA
Salary:$145,000 – $233,000 Annually
About the Job: As a Senior Data Scientist on our Team, you will partner closely with key business leads, focusing on some of the most exciting challenges Atlassian faces.
What you’ll do:
- 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.
Your 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 operational teams.
- You have a track record of successfully driving analytic initiatives, engaging with non-technical partners, and leading projects to impact.
- You are able to bridge the gap between business problem and data, and be able to articulate priorities, outcomes, and timelines of analytic projects.
- You’re known for producing clean, clear data visualizations that power decisions for senior stakeholders.
- You have strong communication skills (non-technical) and core tech skills.
- 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 are someone who actively likes to mentor / grow less experienced analysts.
- 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 trade-offs and efforts, identify the best path forward, and exercise good judgment to drive ahead.