Product Growth Analyst

Summary

Join PandaDoc's Data Team as a Product Growth Analyst and contribute to the development of a cutting-edge insights infrastructure. Reporting directly to the Director of Data, you will play a key role in shaping data workstreams and product optimization. Your responsibilities will include analyzing user acquisition, collaborating with product managers, creating reports and dashboards, providing insights on customer segmentation, and conducting A/B testing. This role requires a Bachelor's degree in a quantitative field, 2+ years of experience in a growth analyst role (preferably in SaaS), strong analytical skills, and excellent communication abilities. PandaDoc offers a competitive salary, remote work opportunities, 6 self-care days, and a supportive, open culture that prioritizes professional development.

Requirements

• Bachelor Degree ideally in a quantitative field (mathematics, statistics, economics, etc)
• 2+ years of experience in a growth analyst or similar role, preferably in a SaaS environment
• Strong analytical skills with proficiency in data analysis tools (e.g., SQL, Excel, Tableau)
• A/B testing experience and strong understanding of statistical inference, experimental design, and analytic bias
• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders
• Ability to work collaboratively in with a wide variety of technical abilities and levels of leadership
• Strong attention to detail and a passion for delivering exceptional user experiences

Responsibilities

• Analyze user acquisition and onboarding flows to identify trends, user behaviors, and areas for improvement
• Collaborate with product managers to define key performance indicators (KPIs) and success metrics for growth initiatives
• Create detailed reports and dashboards to communicate insights and recommendations to stakeholders
• Provide insights on customer segmentation, targeting, and personalization strategies
• Contribute to foundational data efforts, such as metric and model definition
• Conduct A/B testing and experimentation to optimize conversion rates and user acquisition efforts
• Grow impactful relationships with cross-functional partners and stakeholders
• Present findings from research and experimentation to technical and non-technical audiences

Preferred Qualifications

• Have worked for a B2B startup in the past
• Have proficiency in Python/R for modeling and manipulating large datasets

Benefits

• An honest, open culture that emphasizes feedback and promotes professional and personal development
• An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
• 6 self care days
• A competitive salary