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About the Role
You will be part of a world-class Data Science team that leverages data to drive insights about our products and customers. The Data Science team partners closely with Product Managers/Engineers/Researchers/Data Engineers/Marketers/Privacy and Executive teams across Atlassian to drive and influence. The team is responsible for using a variety of analysis and data-science techniques to understand how Atlassian’s customers engage with our products and communications and, in doing so, identify, design, and measure the success of product investments.
Responsibilities
- Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work.
- Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges.
- Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.
- Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.
- Partner with cross-functional teams to inform, influence, and execute strategy decisions.
- Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.
- Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.
- Use storytelling techniques to communicate insights broadly, including to company leadership teams.
Requirements
- 8+ Years of Experience in Data Science or related fields
- Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
- Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
- Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand
- Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
- A proven track record for crafting analysis into well-written content
- Experience advising, presenting to and serving as a thought partner to senior executives
- 10+ Years of Experience in Data Science or related fields
- An understanding of the SaaS business model and key metrics
Skills
- Data Science
- SQL
- Python
- R
- Data manipulation
- Data visualization
- Tableau
- R-Shiny
- Microstrategy
- SAP Business Objects
- Looker
- Statistical concepts
- Regressions
- A/B tests
- Clustering
- Probability
- SaaS business model
Location
- United States
Work Type
- Office
- Home
- Combination of office and home
Experience Level
- 8+ Years of Experience
- 10+ Years of Experience
Salary/Compensations
- Zone A: $206,100 - $269,075
- Zone B: $185,490 - $242,168
- Zone C: $171,063 - $223,332
Benefits
- Health and wellbeing resources
- Paid volunteer days
- Bonuses
- Commissions
- Equity
About the Company
- At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
- We believe that the unique contributions of all Atlassians create our success.
- To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
- All your information will be kept confidential according to EEO guidelines.
- To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
- To learn more about our culture and hiring process, visit go.atlassian.com/crh.
- In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.
Equal Opportunity
- We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
- All your information will be kept confidential according to EEO guidelines.