Senior Data Analyst, Growth

Summary

Join Calendly's Product Analytics team as a Senior Data Analyst and leverage your expertise to drive data-informed decisions. Partner with cross-functional teams to define analytics roadmaps and identify growth opportunities. Design and analyze A/B tests to optimize acquisition, activation, and retention strategies. Define success metrics and measure the impact of AI-driven initiatives. Ensure analytics outputs are accurate and timely. Represent growth levers in cross-functional planning discussions. Apply statistical methods to uncover insights related to product usage. Build and maintain dashboards that surface key growth trends. This role requires deep knowledge of A/B testing, proficiency in Python and SQL, experience with AI-powered features, and strong communication skills. Calendly offers a competitive salary, quarterly corporate bonus program or sales incentive, equity awards, and competitive benefits.

Requirements

• Deep knowledge of A/B testing statistics and experimentation end to end design
• Proficient in Python programming for developing advanced analytics solutions and automation scripts
• Advanced proficiency in SQL, relational databases, and data analysis/visualization tools like Hex
• Experience with AI-powered features, including evaluating model performance and user interaction patterns
• Strong strategic thinking and problem-solving skills, translating data insights into actionable growth strategies
• Excellent communication and stakeholder management skills, conveying technical concepts to non-technical audiences
• Ability to translate detailed data into clear, actionable recommendations, bridging technical and business perspectives
• Inquisitive mindset for uncovering insights and opportunities through data, driving continuous improvement
• Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time

Responsibilities

• Partnering with cross-functional teams across Product, Engineering, Revenue, Design, and Lifecycle to define analytics and experimentation roadmaps and identify growth opportunities
• Designing and analyzing A/B tests to validate hypotheses and optimize acquisition, activation, and retention strategies
• Define success metrics and measure impact of AI-driven initiatives, ensuring models deliver meaningful user and business value
• Ensuring analytics outputs are accurate, timely, and aligned with Calendly’s business goals
• Representing growth levers and business objectives in cross-functional planning and strategy discussions
• Applying statistical methods to uncover insights related to product usage (e.g., conversion funnel analysis, cohort retention, lifecycle segmentation, LTV modeling, and churn prediction)
• Building and maintaining dashboards that surface key growth trends and enable stakeholders to self-serve insights effectively

Benefits

• Quarterly Corporate Bonus program (or Sales incentive)
• Equity awards
• Competitive benefits