Principal Product Analyst, Copilot

What You’ll Do:Lead deep-dive analyses into customer behavior and retention to uncover key drivers of product adoption, usage growth, and customer behaviors. Apply strong technical skills to deliver impactful insights independently.Develop and scale insights that drive product strategy, ensuring alignment with business objectives and empowering stakeholders with actionable recommendations. Setting the direction for reporting & insights that drive organizational outcomes within your product domain.Partner cross-functionally with Product Management, Engineering, Sales, Customer Success and Product Marketing teams to integrate diverse data sources and enhance analytical capabilities.Own end-to-end analytical projects, from data extraction and transformation to analysis, visualization, and strategic recommendations.Influence senior leadership by translating complex analyses into compelling narratives that drive product and business decisions.Design and lead the execution of experiments, A/B tests, and hypothesis testing frameworks, scaling these processes across the Product organization to support robust, data-driven decision-making.Advance self-service analytics capabilities, enabling stakeholders to independently explore data while providing expert guidance on deeper, more complex analyses.Upskill junior analysts, on their technical craft and translating insights into a compelling data story, fostering a culture of continuous learning and technical skill development with analytical tools, and driving initiatives to advance data proficiency.What You Bring:Bachelor’s or Master’s Degree in Analytics, Statistics, Computer Science, Economics, or a related field.8+ years of professional experience, with at least 6 years in product analytics, business intelligence, or data science; within a SaaS or tech company (preferred)Advanced proficiency in SQL for data extraction, transformation, optimization, and analysis.Strong statistical analysis and data modeling skills using Python, R, or similar programming languages.Experience conducting deep-dive analyses into product performance, user behavior, and experimentation results.Ability to synthesize complex quantitative data into clear, actionable insights for both technical and non-technical stakeholders.Proven ability to collaborate effectively across functions, demonstrate experience partnering with product, engineering, and business teams to drive aligned outcomes.Proficiency in data visualization tools such as Tableau, Looker, or Sisense to communicate findings effectively.Strong project management skills to lead multiple initiatives in a fast-paced, data-driven environment.Experience working with Google Analytics and Amplitude (preferred).

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