Proactive mindset to identify, propose, and implement both technical and process improvements.
Experience working in challenging and fast-paced business environments, with the ability to adapt data solutions to evolving needs.
Strong communication and collaboration skills to work effectively with Data Analysts, business stakeholders, and engineering peers.
Solid understanding of Git for code versioning and collaboration.
Responsibilities:
Design and maintain data pipelines, transforming raw data into clear, actionable insights using dbt and other tools.
Build and optimize LookML models in Looker to ensure efficient, scalable, and user-friendly reporting.
Write high-performance SQL for development, operational efficiency, and cost optimization.
Collaborate closely with Engineering and other teams to identify opportunities, propose solutions, and implement technical improvements.
Use Git for version control, deployment, and collaborative development in an agile environment.
Develop and maintain a semantic layer to improve AI functionality and enhance data accessibility.
Ensure consistency of metrics across the model, avoiding multiple definitions and logics for the same KPI, while aligning data models and transformations with both business objectives and analytical needs.
Collaborate closely with Data Analysts and business stakeholders, ensuring that data models and definitions directly support decision-making needs and analytics workflows.