Senior Data Scientist, Customer Analytics (Ecosystem Platform)

Key Skills

Java Programming, SAP, Python Programming, SQL, A/B Testing, Tableau, R Programming, MicroStrategy, R-Shiny, ETL frameworks

Job Description

Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

With a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from any location in Australia and New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.

Do you have a passion for crafting products and insights with data? Do you love finding the next big ‘aha’ insight which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?

Atlassian is looking for a Senior Data Scientist to join our Customer Analytics team in Sydney, Australia. We’re seeking someone with strong business instincts, creativity, and analytics mastery, who is passionate about applying these skills to drive smarter product decisions and ultimately, delight our customers.

You’ll be working within our Ecosystem team collaborating primarily with the Platform team. Platform is responsible for developing tools and features that enable developers to build apps. Apps extend the use cases for our products, improving the functionality as well as enabling developers to build a business on our platform.

As well as being an integral part of a product team, you’ll also be a valued member of the Analytics and Data Science team. Your peers will rely on your expertise and you will help drive initiatives that keep Atlassian at the forefront of world-class in analytics and data science.

In this role you'll get to:

• Work with product leaders to identify high impact opportunities for analytics, and align analytics & data science priorities with the product roadmap and strategy
• Play with our large volume of analytics data to understand insightful trends and employ this behavioural data and insights to intelligently to improve user journeys and customer value
• Drive the measurement culture and understand the impact of our product strategy; including designing and analysing experiments and feature launches
• Envision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analysts
• Share your high-quality insights and recommendations to various levels of leadership to drive critical business decisions
• Foster a world-class analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decision

On your first day we expect you to have:

• Proven experience applying your analytics skills to drive projects which have had proven 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 visualisation tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects)
• Strong ability to communicate. Explaining complex concepts to diverse audiences, and crafting compelling stories
• Project management & prioritisation experience; preferably with Data Engineering, Product Management, Research and Engineering teams
• Experience in 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)

It's a bonus but not required if you have:

• Previously worked in global teams and high growth companies
• Have experience developing apps
• Advanced degree in Computer Science, Math or Statistics
• An understanding of the SaaS development, business model and metrics
• Experience in customer analytics, particularly analytical insight into how product changes impact customer and user happiness and engagement
• Experience in building ETL pipelines using any tools or scripting languages
• Are an active member of the broader analytics and data science community