Data Analyst I - Experimentation
3 days ago
Description
• Apply best practices for experiment design by supporting hypothesis definition, KPI selection, requirements gathering, experiment coordination, event audit, process documentation, and post-hoc analyses • Analyze experiment results and compile post-hoc analyses to provide actional insights that inform product development decisions, including prioritizing new features, enhancements, and optimizations for user engagement, conversion, and retention • Maintain and monitor the operational status of experiment queues, roadmaps, test schedules, and in-flight tests • Work closely with the Product and Engineering teams to implement findings from testing • Manage the full experiment lifecycle, including experiment queues, test schedules, and in-progress experiments, ensuring timely execution and accurate data collection • Partner closely with product and engineering teams to communicate test findings and ensure successful implementation of test-driven insights • Collaborate with cross-functional teams, including product management, design, and engineering, to understand business needs and translate them into effective experimentation strategies • Troubleshoot experimental setups in collaboration with Engineering, including working on metric definitions, targeting segments, regular expressions, and data integrity issues
Requirements
• Bachelor’s degree in Mathematics, Statistics, Physics, Engineering, Economics, Finance, or a related field • At least 1 year of hands-on experience in implementing and analyzing A/B and multivariate experiments for ecommerce optimization or similar experience • Proficiency with A/B testing platforms (experience with StatSig preferred) and basic understanding of HTML for experiment setup • Working knowledge of databases using SQL • Familiarity with web analytics tools (Heap or similar) for deriving actionable insights from user data is a plus • Familiarity with data visualization and dashboarding tools (e.g. Tableau) to communicate findings effectively is a plus • Familiarity with statical analysis tools such as Python, R, or similar is a plus • Experience in ecommerce or telehealth industries is a plus • Excellent written and verbal communication skills with the ability to translate complex analytical findings to diverse audiences
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