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.

Senior Data Analyst