other
Added May 31Manager, Business Intelligence
at Booker
United StatesOn-site
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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
- Experience You Bring 7+ years of
Benefits
- requirements Excellent communication skills, with the ability to translate complex data into clear insights for both technical and non-technical stakeholders Pay Transparency It is Playlist's intent to pay all Team Members competitive wages and salaries that are motivational, fair and equitable.
- The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization.
- Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.The base salary range for this position in the United States is $131,475 to $175,300.
- The total compensation package for this position may also include a performance bonus, key
Additional details
- About the Company: At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play.
- We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond.
- With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions.
- Join us in reshaping technology's role to foster meaningful, real-world connections.Role You'll Play Manager, Business Intelligence (Product & Data Products)As Manager, Business Intelligence, you will lead how Playlist transforms complex product data into trusted, scalable insights—powering both internal decision-making and customer-facing analytics products.
- You’ll manage and grow a small, high-impact team (2 direct reports with near-term hiring), setting a high bar for data quality, scalability, and business impact.
- responsibilities but isn’t intended to cover every task or duty. Additional
- responsibilities may be assigned as needed to support the team and business goals.