• Design, build, and maintain reliable data models that transform raw data into business-ready datasets. • Collaborate closely with analysts, data scientists, and business stakeholders to understand requirements and translate them into actionable metrics, KPIs, and dashboards. • Develop and maintain metrics definitions, semantic layers, and data documentation to ensure consistency across teams. • Build, optimize, and test dbt models to deliver clean, reliable, and trusted data. • Ensure data quality, accuracy, and governance are embedded in all models and pipelines. • Create dashboards, reports, and visualizations that empower business users to make data-driven decisions. • Work with SQL and transformation frameworks to write efficient queries and maintain performant models. • Partner with data engineers to ensure smooth data ingestion and availability for analytics. • Continuously improve processes and workflows to increase efficiency, reliability, and scalability.