Analytics Engineer
Core
Build and scale the analytics foundation powering decision-making for Growth, Marketing, Product, and Commercial teams by owning data pipelines, warehouse models, and dashboards.
Role type
Analytics Engineer
Builds
Data pipelines, warehouse models, dashboards, and experimentation analysis for e-commerce growth and marketing.
Domain
E-commerce / Digital Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, BigQuery, dbt, Dataform, Looker, Funnel, data pipeline architecture, data modeling, event tracking instrumentation, funnel analysis, attribution modeling, CRM data flows, paid media data structures
Preferred skills
GA4, Google Tag Manager, Klaviyo, Meta Ads, Google Ads
Technologies
BigQuery, dbt, Dataform, Looker, Funnel, Google Tag Manager, GA4, Klaviyo
Responsibilities
Own and maintain BigQuery data pipelines with scheduling, monitoring, and data quality validation; Design, build, and maintain dashboards for Growth, Marketing, and Product teams; Implement and maintain event tracking through GTM and GA4; Build data infrastructure feeding CRM and paid media channels; Support experimentation workflows and A/B test analysis; Translate business questions into clear analyses with actionable recommendations.
Seniority
Mid-Senior (4-6 years experience)

