Builds backend services for a new AI and data product, connecting prepared fan data to user-facing features through APIs, database design and large-scale data processing.
About this role
The analytics engineer will help build the data foundation for a new AI and data product using entertainment-fan data. Working under the data-platform lead, the role focuses on making disparate sources describe the same real-world entities and events, so analysis and AI return consistent results. Sources include product databases, external services, and web-based work and product records. The work includes linking and standardizing records, designing dimensional models that separate facts from dimensions, centralizing KPI definitions, and providing tested, documented tables for analytics, AI, and product use. The stated environment includes Google Cloud services such as BigQuery and Cloud Composer, dbt, BI tools, Python, and Terraform. Required qualifications are the ability to use SQL to extract, transform, and aggregate data; strong logical and abstraction skills to identify and organize what happened in reality; and the ability to learn from feedback and develop quickly. SQL experience may come from work, research, an internship, or independent study.
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