Senior Data Scientist, Customer Analytics - Ecosystem

Key Skills

Java Programming, Leadership, SAP, Python Programming, SQL, A/B Testing, Data Visualization, Tableau, R Programming, Statistics, R-Shiny, Data Engineering, Mathematics

Job Description

Atlassian is looking for a Data Scientist to join our Customer Analytics team. We're looking for someone with analytical thinking, who is passionate about building data products from scratch to inspire a massive company transformation.

You will work within our Ecosystem team and will manage our Developer and Partner experience. Our 2nd and 3rd-party developers build apps and integrations that can be found on the Atlassian Marketplace, which recently exceeded 2 billion in sales!

The Customer Analytics team at Atlassian uses insights from user behavioral data to improve the way our customers use our products in their daily work. We are a collaborative team with a high bar of rigorous analyses, and we love to have fun along the way

What you'll do

• Work with other product leaders to identify opportunities for analytics, and align analytics and data science priorities with the product roadmap
• Play with our large volume of analytics data to understand insightful trends and employ this behavioral data and insights to improve user journeys and customer value
• Promote the measurement culture and understand the impact of our product strategy; including designing and analyzing experiments and feature launches
• Envision, scope, and build projects by collaborating with partners, customer research, data engineers and other analysts
• Share your high-quality insights to different levels of leadership to guide important decisions
• Foster a world-class analytics culture, leading by example, through blogging, speaking, and the creation of self-service tools, to make a lasting change in how your partners use data to make decisions

Your background

• 4+ years of experience applying your analytics skills to projects which have an impact on strategic and product roadmap decisions
• Expertise in SQL and proficiency in another data programming language (Python, R, etc.)
• An Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing having something now vs. perfection in the future
• Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects)
• Ability to explain complex concepts to diverse audiences, and creating compelling stories
• Project management and prioritization experience; preferably with Data Engineering, Product Management, Research and Engineering teams
• Experience using statistics as part of your role (e.g. regressions, A/B tests, forecasting)
• A degree in a quantitative discipline (e.g. statistics, mathematics, physics, econometrics, or computer science)