Senior Product Data Analyst

Summary

Join PandaDoc's Data Team and help build a cutting-edge insights infrastructure. As a Product Analyst, you will report to the Director of Data Analytics and contribute to two main priorities: migrating to a new infrastructure (Snowflake, Airbyte, Segment, Select Star, Monte Carlo, dbt, various BI tools) and generating impact by using data to solve business problems. You will analyze product usage data, collaborate with product managers, create reports and dashboards, assist in defining product requirements, contribute to foundational data efforts, provide guidance for product optimization experiments, and present findings to stakeholders. This role offers the opportunity to shape the roadmap for data workstreams and product optimization within a company focused on data-driven decision making. PandaDoc offers a work-life balance, kind co-workers, and creative virtual team-bonding events.

Requirements

• Bachelor Degree ideally in a quantitative field (mathematics, statistics, economics, etc)
• 4+ years of experience in a product 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 product usage data to identify trends, user behaviors, and areas for improvement
• Collaborate with product managers to define key performance indicators (KPIs) and success metrics for product initiatives
• Create detailed reports and dashboards to communicate insights and recommendations to stakeholders
• Assist in defining product requirements and user stories based on data-driven insights
• Contribute to foundational data efforts, such as metric and model definition
• Provide guidance and analysis for product optimization experiments
• 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

• Work-life balance
• Kind co-workers
• Creative virtual team-bonding events