The Brand Analytics team is the insights engine: its mission is to empower data-driven decision-making for Retail Media Partners by providing a single source of truth. This creates a powerful opportunity for brands to gain deep performance visibility and turn enterprise-scale data into actionable growth strategies.
While operating within an existing ecosystem, the architectural transition from a single monolith into four specialized product teams provides a highly autonomous, greenfield-like environment where your decisions will directly shape our future state and enable us to multiply our Retail Media revenue.
- Design, build, and maintain production-grade analytical data transformations and metrics definitions within Google BigQuery to enable robust performance and budget reporting for our bidding marketplaces
- Establish rigorous, automated data validation frameworks and schema checks to shield public-facing reporting dashboards and analytical tables from upstream variance or structural drift
- Lead the migration of complex analytical transformation rules and data aggregation queries directly out of historical legacy application repositories into modular, decoupled analytics environments
- Partner with Data Engineers to engineer clean data modeling boundaries around shared catalog assets (such as products and brands) that connect the decentralized product stack with core platform endpoints
- Set analytics engineering standards, direct code-reuse conventions, and establish reusable data blueprints within the team
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