Senior Data Analyst

About the job

Responsibilities: • Advanced Analytics: Conduct comprehensive analysis of product usage, user behavior, and performance metrics to identify opportunities for improvement. • Experimentation Design & Management: Design, implement, and manage A/B tests, causal analysis, and other experiments. Define clear hypotheses, target segments, and success metrics. • Experimentation Analysis: Analyze experiment results using statistical methods, providing detailed reports and recommendations. Identify statistically significant findings and translate them into actionable insights. • KPI Definition & Tracking: Define key performance indicators (KPIs) and establish robust tracking and reporting mechanisms. • Dashboarding & Visualization: Develop and maintain dashboards to visualize experiment results, key metrics, and trends, making data accessible and understandable to stakeholders. • Collaboration: Work closely with product managers, engineers, designers, and machine learning scientists to implement and iterate on experiment findings and product improvements. • Data Storytelling: Communicate complex data insights and experiment results clearly and compellingly to diverse audiences, including leadership. • Data Integrity: Ensure data accuracy and integrity for all analysis and experimentation. • Methodology Development: Contribute to the development and improvement of our experimentation methodologies and best practices. Qualifications: • Bachelor's Degree in Computer Science, Computer Engineering, Data Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline • 6-8 years of relevant experience. • Strong proficiency in data analysis, statistical modeling, and data visualization. • Proven experience in designing, implementing, and analyzing A/B tests and other experiments. • Solid understanding of statistical significance and hypothesis testing. • SQL is a must. Python is nice to have. Any experience with Looker is also desirable. • Knowledge of data science concepts and methodologies. • Excellent communication and presentation skills, with the ability to explain complex data insights. • Strong analytical and problem-solving skills. • Experience working in a product-driven environment. • Attention to detail and a commitment to data accuracy.

Requirements

• Analytics
• A/B Testing
• Statistical Modeling
• SQL
• Python

Qualifications

• Bachelor's Degree in Computer Science
• Computer Engineering
• Data Analytics
• Mathematics
• Statistics
• Information Systems
• Economics

Preferred Technologies

• Analytics
• A/B Testing
• Statistical Modeling
• SQL
• Python