Analytics Engineer

• Design, develop, and maintain the data infrastructure that powers business intelligence, strategic analysis, and AI workloads across the company
• Use SQL, Python, Snowflake, dbt, Airflow, and other systems within an agile development model to build and maintain data infrastructure for reporting, analysis, and automation
• Develop Snowflake semantic models that can be leveraged by Cortex Analyst and power AI experience for data
• Perform data QA and develop automated testing procedures for use with Snowflake data models
• Translate reporting, analysis, and automation requirements into data model requirements and specifications
• Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases
• Architect flexible, performant data models that will support a wide range of use cases and drive the organization towards single sources of truth
• Provide input into data governance strategies and frameworks including permissions and security models, data lineage systems, and data definitions
• Build and maintain user friendly documentation for data models and key metrics
• Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team

Senior Analytics Engineer, People Analytics

Senior Analytics Engineer

Analytics Engineer

EDW Informatica ETL Developer

Senior Analytics Engineer

Senior Analytics Engineer – Data & Visualization