Senior Data Analyst

WHAT YOU’LL DO

• 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 to support their development and business needs.
• Play a critical role in supporting and leading all things product experimentation at Codecademy.
• Contribute to our analytics infrastructure by turning complex and sometimes ambiguous business requirements into effective, scalable data models, analysis, and reporting.
• 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.
• Collaborate with Data Science and Data Engineering Team Members on a wide range of projects.
• Apply software engineering best practices to your analytics workflow (ex: version control, testing).
• Develop and maintain effective reporting in Looker and other BI tools to help stakeholders better understand our users and their businesses.
• Ensure product developments and changes integrate well with our existing data models and reporting tools, and when they don’t, build the necessary capabilities to adjust.

WHAT YOU’LL NEED

• Reputation as a user-obsessed data and analytics expert.
• Minimum of 5 years in an analytical role focused on digital product, edtech, or subscription-based product analytics.
• Expertise with SQL and hands-on experience with modern BI tools like Looker, Tableau, PowerBI, etc.
• Some exposure to modern analytics engineering development tools, processes, and workflows like dbt, Apache Airflow, git & version control, Jira, etc.
• Hands-on experience supporting the development, execution, and analysis of product experimentation (A/B/n testing, pre-post analysis, etc.)
• Strong problem-solving skills to determine how to best employ multiple data sets and analytical methods to answer user and product development questions.
• The ability to prioritize and effectively manage the support of multiple overlapping projects, ad-hoc requests, and general data and analytics support.
• A “Founder” mentality - relentless, resourceful, proactive, and results-oriented.
• Experience communicating the results of an analysis or experiment to a wide variety of audiences.
• Working knowledge of customer data platforms like Segment.
• Clear and concise written and verbal communication skills.
• Ability to handle multiple priorities and tight timelines
• Strong track record of establishing trusted relationships

WHAT WILL MAKE YOU STAND OUT

• Experience developing on Snowflake or other cloud data warehouses using tools like Python, dbt, or other common data & analytics engineering tools.
• Experience with Python and some common analytics packages like pandas, scikit-learn, numpy, etc., or the equivalent in R.
• Extensive product experimentation experience and knowledge of the Optimizely Experiment platform.
• Experience working in Edtech or similar industries
• Past experience with web or product analytics tools like Google Analytics, Pendo, or Fullstory.

Target base salary range for this job requisition is anticipated to be $85,600 to $128,400 annualized.