Hands-on experience designing and implementing analytical data models in a modern data warehouse (e.g., BigQuery, Snowflake, Redshift, Synapse, or equivalent), including dimensional modeling, fact and dimension tables, business-friendly data marts, semantic layers (e.g., LookML), and governed metric definitions. Deep hands-on fluency with SQL and BI/visualization platforms (e.g., Looker, Tableau, Oracle Analytics, Power BI, or equivalent), including translating business requirements into scalable reporting models, reusable metrics, dashboards, and self-service analytics experiences; Python or R experience is a plus.