Analytics Engineer

• Design and build dimensional data models in Snowflake that serve as the foundation for analytics and reporting
• Write clean, efficient, well-documented SQL to transform raw data into analytics-ready datasets
• Create reusable data models that can be leveraged across multiple use cases and business domains
• Optimize query performance and data pipeline efficiency
• Establish and maintain data modeling standards and best practices
• Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing and story telling
• Partner with business stakeholders (Sales, Customer Success, Finance, Product) to understand data needs and business logic
• Work with Data Engineering team to scope, prioritize, and integrate new data sources into the warehouse
• Collaborate with BI Analysts to understand their analytical requirements and build datasets that enable self-service analytics
• Translate business requirements into technical data specifications
• Participate in requirements gathering and solution design discussions
• Develop monitoring and alerting mechanisms to maintain integrity and reliability of the data warehouse
• Investigate and resolve data issues or errors in the data warehouse and work to solve the root cause
• Create and maintain documentation detailing data models, data dictionaries, and business logic
• Build reports and dashboards to surface key metrics to the business (e.g., Tableau)

Analytics Engineer II

Senior Analytics Engineer

Senior Analytics Engineer

Senior Analytics Engineer – BI, Data Visualization

Data Solutions Engineer