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Metro location and mid-senior level increase competition, but niche dbt/GA ecommerce skills moderate applicant density.
Role requires ecommerce digital analytics and Google Analytics expertise, creating strong domain-specific experience bias.
Explicit 6+ years requirement plus mandatory dbt, SQL, GA, cloud and governance skills create strict filters.
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Own the transformation layer from staging to analytics-ready ecommerce datasets, applying business logic for trusted data sources.
Develop and manage modular, scalable data models supporting multi-domain and multi-language ecommerce metrics including site search, customer behavior, and product performance.
Collaborate cross-functionally with BI analysts, data engineers, and product teams to align data models with ecommerce KPIs and governance standards.
6+ years of experience in digital analytics data, including Google Analytics preferred.
2+ to 7+ years of experience with dbt or similar transformation tools and cloud data platforms for scalable data modeling.
Bachelor’s degree in a related field or equivalent related work experience; Master’s preferred.
Proficiency in SQL, data modeling principles, experience with ETL platforms like Alteryx, and understanding of ecommerce metrics required.
Experienced in leading data modeling and transformation efforts for international, multi-language ecommerce environments with complex data needs.
Strong cross-functional collaborator able to translate business needs into efficient, performant data structures and enforce data governance and documentation standards.
Skilled in optimizing scalable data workflows with a focus on traceability, modularity, and alignment with digital product and customer experience goals.