Senior Business Intelligence Analyst – Product Analytics

What You'll Do

Product Analytics Ownership

• Partner with Product Managers and Engineering leaders to understand customer workflows, product experiences, user behaviors, and business objectives, using data to drive product strategy and decision-making.
• Develop a deep understanding of customer workflows, product experiences, and user behaviors to identify opportunities for improved adoption, engagement, retention, and value realization.
• Define success metrics and measurement plans for product launches, features, and strategic initiatives.
• Develop and refine KPIs and measurement frameworks that align teams around product and business performance.
• Partner with Product and Engineering teams to define event tracking requirements and ensure product telemetry supports meaningful measurement and analysis.
• Quantify opportunity size and help Product teams prioritize investments based on expected customer value, business impact, and strategic objectives.
• Support product teams throughout the product lifecycle, from opportunity identification and prioritization through launch and post-release evaluation.

Analytics Execution & Insight Generation

• Conduct deep-dive analyses to identify trends, opportunities, risks, and root causes.
• Translate complex business questions into actionable insights and recommendations.
• Design, analyze, and communicate results from experiments, feature launches, and product initiatives, evaluating customer and business impact.
• Identify and quantify opportunities to improve product experiences, customer engagement, retention, and business outcomes through data-driven analysis.
• Evaluate tradeoffs between competing product investments and provide analytical recommendations that support roadmap prioritization.

Stakeholder Partnership & Data Storytelling

• Act as a trusted analytics partner to Product, Engineering, and Leadership teams.
• Present analytical findings and recommendations through clear narratives and effective visualizations.
• Influence prioritization and strategic decisions through evidence-based insights.
• Communicate complex analytical concepts to both technical and non-technical audiences.

Analytics Excellence & Innovation

• Partner with Data Engineering and Analytics teams to improve data quality, instrumentation, and accessibility.
• Leverage modern analytics and AI-powered tools to accelerate analysis and improve team efficiency.
• Contribute to scalable analytics best practices, governance, and continuous improvement across the organization.

What You Bring

• 5+ years of experience in Business Intelligence, Product Analytics, Growth Analytics, or related analytical roles within B2B SaaS or technology organizations.
• Demonstrated experience influencing product, business, or operational decisions through analytical insights and recommendations.
• Strong SQL skills and experience working with large-scale datasets. Experience with Python or other analytical programming languages is a plus.
• Experience partnering with cross-functional teams, including Product Management, Engineering, and Business stakeholders.
• Proven ability to define KPIs, build measurement frameworks, and translate complex business questions into actionable analysis and recommendations.
• Experience analyzing product adoption, customer behavior, engagement, retention, experimentation, or product performance.
• Strong communication and data storytelling skills, with the ability to tailor insights to technical and executive audiences.
• Demonstrated experience leveraging AI-powered tools and LLMs to accelerate analytical workflows, automate repetitive tasks, improve research efficiency, enhance data exploration, and generate actionable insights.