Manager, Business Intelligence

Responsibilities

• Own Product Data Foundations Lead the development and maintenance of scalable, high-quality data models that represent our complex, customizable product ecosystem Transform raw, fragmented product data into clean, reliable datasets used across internal analytics and external products Establish and enforce best practices for data modeling, testing, and governance across product datasets Partner with Product & Product Analytics Work closely with Product Analytics to enable fast, accurate, and actionable

Requirements

• You’ll partner closely with Product, Product Analytics, and Engineering to define, build, and operationalize high-quality data models that support a highly customizable product ecosystem.Our stack: Snowflake + dbt Cloud powering Looker and Sigma Computing across internal and external analytics.This role sits at the intersection of product analytics, data modeling, and data product development.
• You’ll own internal product data foundations, enable fast and reliable insight generation, and lead the data layer powering both our external Analytics 2.0 product and internal AI-driven capabilities.
• experience in business intelligence, analytics, or data-focused roles in a high-growth or product-driven environment 3+ years of
• experience managing or mentoring analysts, with a track record of building high-performing teams Strong
• experience partnering with Product and/or Product Analytics teams, including deep understanding of product metrics, event data, and user behavior analysis Deep expertise in SQL and data modeling, including designing datasets for both internal analytics and external-facing use cases
• Experience working with complex, raw datasets and transforming them into scalable, reliable data models
• Experience supporting or building data products (e.g., customer-facing analytics, embedded reporting, APIs) Familiarity with AI/ML data workflows or strong interest in supporting AI-driven product development Strong understanding of data quality, governance, and testing best practices Hands-on
• experience with modern data stacks, including Snowflake, dbt Cloud, and BI tools such as Looker and Sigma Computing Ability to balance speed and precision in a fast-moving environment with ambiguous

Experience