Appinio

Analytics Engineer

• Design, build, and maintain clean, scalable data models in the data warehouse using SQL and dbt
• Develop and maintain data transformation workflows that turn raw data into analytics-ready datasets
• Build, maintain, and troubleshoot data pipelines and integrations from APIs, databases, and third-party systems
• Implement automated tests, validations, monitoring, and proactive issue resolution for data pipelines and models
• Document data models, pipelines, business definitions, and transformation logic
• Define, implement, and standardize business metrics such as revenue, bookings, and churn
• Collaborate with analysts, business stakeholders, and engineering teams to deliver reliable data solutions
• Optimize SQL queries, dbt models, and data pipelines for performance and scalability
• Explore AI-powered tools to automate repetitive tasks and improve data engineering and analytics workflows
• Prepare data foundations for AI-driven analytics through structured models, definitions, and documentation
• Report directly to the Team Lead, Business Intelligence

Explore Analytics Engineer at Appinio. Review requirements and application details.

• Design, build, and maintain clean, scalable data models in the data warehouse using SQL and dbt
• Develop and maintain data transformation workflows that convert raw data into analytics-ready datasets
• Build, maintain, and troubleshoot data pipelines and integrations from APIs, databases, and third-party systems
• Implement automated tests, validations, monitoring, and proactive issue resolution for data pipelines and models
• Document data models, pipelines, business definitions, and transformation logic
• Define, implement, and standardize key business metrics such as revenue, bookings, and churn
• Collaborate with analysts, business stakeholders, and engineering teams to deliver reliable data solutions
• Optimize SQL queries, dbt models, and data pipelines for performance and scalability
• Explore AI-powered tools to improve workflows and automate repetitive tasks
• Prepare data models, business definitions, and documentation for AI-driven analytics
• Report directly to the Team Lead, Business Intelligence

• Design, build, and maintain clean, scalable data models in the data warehouse using SQL and dbt
• Develop and maintain data transformation workflows that turn raw data into structured, analytics-ready datasets
• Build, maintain, and troubleshoot data pipelines and integrations from APIs, databases, and third-party systems
• Implement automated tests, validations, monitoring, and proactive issue resolution for data quality and reliability
• Document data models, pipelines, business definitions, and transformation logic
• Define, implement, and standardize key business metrics such as revenue, bookings, and churn
• Collaborate with analysts, business stakeholders, and engineering teams to deliver reliable, scalable data solutions
• Optimize SQL queries, dbt models, and data pipelines for performance and scalability
• Explore AI-powered tools to improve workflows and prepare the data foundation for AI-driven analytics
• Report directly to the Team Lead, Business Intelligence

Open roles

Analytics Engineer

Analytics Engineer

Analytics Engineer