Digital - Senior Analytics Engineer/Analytics Engineer, Digital Technology
Core
Transform complex data into trusted, business-ready assets and empower decision-making across the organization by designing scalable data models and semantic layers.
Role type
Senior Analytics Engineer
Builds
Reusable data models, curated datasets, semantic layers, and downstream data products
Domain
Retail / Data Engineering
Deliverable
production ML models
Required skills
SQL, data modeling, dbt, modern data warehousing (BigQuery, Snowflake, Redshift), metrics definition, semantic layers, data quality, testing, governance, lineage, documentation
Preferred skills
Digital Marketing (DTC, Owned, Paid), Customer Data (zero/first/third-party), AI/ML acceleration
Technologies
dbt, BigQuery, Snowflake, Redshift
Responsibilities
Design and optimize trusted, reusable data models; Transform raw landed data into curated, documented datasets; Partner with stakeholders to translate business needs into analytical assets; Define and maintain semantic layers; Establish data quality, governance, privacy, and documentation standards; Contribute to the evolution of the customer data model; Support data testing, lineage, and documentation practices; Mentor junior engineers
Seniority
Senior, hands-on IC with mentorship
