Senior Data Scientist - Product Analytics

Senior Data Scientist - Product Analytics

This job is no longer open

Working at Atlassian

Atlassians have flexibility in where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Your future team

Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, relevant insights, and recommendations.

We're growing quickly, so you'll need to help scale the processes for sustainable growth across the Economy organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this is a great fit!

What you'll do

  • Use data to understand complex customer experiences on Atlassian's website (e.g. www.atlassian.com, support.atlassian.com and confluence.atlassian.com). Analyze how customers navigate our website and identify opportunities for improvement.
  • Define success metrics and report on KPI for Atlassian's websites. Research and explain trends and their impact on the success of the overall business.
  • Accelerate web experimentation through best practices, tooling and clear recommendations.
  • Build instrumentation and web tracking in collaboration with partners and engineers to establish a solid data foundation for this space.
  • Collaborate with engineers, marketers & senior leadership to bring data to the forefront of our decisions.

Your background

  • 5+ years of experience in analytics, data science, or other quantitative field
  • Advanced proficiency in SQL
  • Experience defining and auditing web instrumentation requirements and web analytics
  • Experience designing and analyzing various types of web experimentation (e.g. A/B testing quasi-experimentation, rollout etc.)
  • Experience collaborating with senior management and translating insights into decisions and actions
  • An knack for crafting raw data and analysis into well-written content
  • while maintaining the highest standard of work
  • Proficiency with data visualization best practices and tools such as Tableau
  • Familiarity partnering with multiple business functions. For example: Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teams
  • An agile development mentality, appreciating the benefit of constant iteration and improvement
This job is no longer open
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