Business Intelligence Analyst

• Define enterprise modeling standards across staging, intermediate, dimensional, fact, semantic, and mart layers
• Establish conventions for model grain, naming, ownership, lineage, and documentation
• Lead architectural design reviews
• Design and implement reusable business entities, semantic models, and enterprise metrics
• Establish standards for dbt development, testing, Git workflows, CI/CD, deployment reliability, model performance, and observability
• Design governed access patterns for applications, AI agents, and self-service tools consuming Snowflake data, including RBAC, APIs, service layers, and query optimization
• Partner with Data Engineering, BI & Analytics, Revenue Operations, Finance, and executive stakeholders
• Translate business requirements into trustworthy data models and scalable analytics solutions
• Guide analytics engineers on architecture, semantic implementation, reusable modeling patterns, and analytics engineering practices
• Evaluate tools, semantic technologies, governance capabilities, and architectural improvements
• Reduce technical debt and support long-term platform scalability

Explore Senior Business Intelligence Data Architect at Contentstack. Review requirements and application details.