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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.
Job Responsibility:
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
Nice to have:
10+ Years of Experience in Data Science or related fields
An understanding of the SaaS business model and key metrics
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