In this role, you will:
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.
Unify business requirements across multiple teams and devise scaled data solutions.
Evangelize and drive adoption of the data products that you and the team develop.
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.
You will 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.
Minimum Qualifications / Your background:
5+ 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.).
Experience in applying statistical concepts (e.g.
regressions, A/B tests, clustering, probability) to business problems.
Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills.
Ability to craft analysis into well-written and persuasive content.
Desirable Qualifications:
7+ Years of Experience in Data Science or related fields OR 5+ Years of experience in Data Science along with a post-graduate degree or equivalent in a related field.
Experience utilizing causal inference for marketing measurement.
Experience influencing functional leadership and above to adopt data solutions.
An understanding of the SaaS business model and key metrics.
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