Senior Data Analyst: Multiple Teams

📋 Description

• Analyze user behavior and large-scale datasets to uncover patterns, identify issues, and surface
• Design, run, and analyze A/B tests to evaluate product changes and quantify their impact on key
• Define, validate, and monitor metrics that capture both user experience and business outcomes.
• Build dashboards, reports, analytical tools, and other data resources that support informed
• Partner with engineers, data scientists, product managers, customers, and business stakeholders to
• Investigate product funnels, performance trends, and user behavior to identify opportunities for

🎯 Requirements

• Strong analytical and problem-solving skills, with demonstrated experience using data to address
• Solid knowledge of SQL and experience working with large-scale datasets.
• Professional experience using Python for data analysis, including tools such as pandas, NumPy, and
• Good understanding of A/B testing, experimentation methodologies, and core statistical concepts.
• Experience defining and analyzing product metrics, metric trees, funnels, and other frameworks for
• Understanding of machine learning pipelines, training data quality, and model evaluation.

🎁 Benefits

• Fully remote working environment, giving you flexibility over where you live and work.
• Unlimited vacation time, with employees strongly encouraged to take at least 3 weeks per year.
• Work-from-home stipend to help you create an effective home-office setup.
• Apple laptop provided for new employees.
• Annual training and professional development budget.
• Maternity and paternity leave for eligible employees.