Data Analyst, Codecademy

• Reputation as a user-obsessed data and analytics expert
• A “Founder” mentality - relentless, resourceful, proactive, and results-oriented
• 3 years of experience in an analytical role focused on digital/web products, Edtech, or subscription-based product analytics
• Strong problem-solving skills and the ability to determine how to best employ multiple data sets and analytical methods to answer user and product development questions
• Clear and concise written and verbal communication skills
• Hands-on experience supporting the development, execution and analysis of product experimentation (A/B/n testing, pre-post analysis, etc.)
• Experience communicating the results of an analysis or experiment to a wide variety of audiences
• Proficiency with SQL and hands-on experience with modern BI tools like Looker, Tableau, or PowerBI
• Ability to handle multiple priorities and tight timelines

Desirable

• As a Data Analyst, you'll be a part of the cross-functional team of analysts, data scientists, and engineers who support all things product analytics and experimentation at Codecademy
• Through close partnerships with product owners and engineers across the organization, you'll use your analytics expertise to better understand how users engage with our platform, inform decision making, and influence future product development
• You'll become an expert on our users and their journey, and use your expertise to advocate on their behalf across Codecademy
• Develop an expert understanding of how learners engage with Codecademy, and use that expertise to advocate for our learners across the organization
• Partner with stakeholders to design and implement analytics strategies that support their development and business needs
• Play an important role in supporting and leading all things data and product experimentation at Codecademy
• Contribute to our analytics infrastructure by turning complex and sometimes ambiguous business requirements into effective analysis and reporting
• Ensure product developments and changes are integrated into our existing data infrastructure and reporting tools, and when they don’t, build the necessary capabilities to adjust
• Develop and maintain effective reporting in Looker and other BI tools to help stakeholders better understand our users and their businesses
• Collaborate with Product, Data Science and Data Engineering Team Members on a wide range of data projects
• Identify opportunities for improvements, contribute to our documentation, and collaborate with the team and our end-users to develop and apply analytics and experimentation best practices