Principal Business Intelligence Analyst

Principal Business Intelligence Analyst

Requirements

• Bachelor’s or Master’s Degree in Analytics, Statistics, Computer Science, Economics, or a related field.
• 8+ years of professional experience, with 6+ years focused on business intelligence/analytics in a product-driven environment.
• Advanced proficiency in SQL for data extraction, transformation, 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.
• Deep knowledge of marketing and advertising, with an understanding of how data can be leveraged to drive decision-making in these domains.
• Ability to synthesize complex quantitative data into clear, actionable insights for both technical and non-technical stakeholders.
• Proven track record of working cross-functionally with teams such as Product management, Engineering, Sales, Customer Success and Ad Operations to integrate and analyze data.
• 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.

Responsibilities

• 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, Product Marketing, Ad Ops, and Marketing Ops 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.

Preferred Qualifications

• Experience working with Google Analytics and Amplitude (preferred).