Business Intelligence (BI) Engineer

• Design and maintain semantic models that support reporting needs across operational and executive audiences.
• Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance.
• Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs.
• Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers.
• Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment.
• Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery.
• Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust.
• Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization. Requirements

• 5+ years of experience in business intelligence, analytics engineering, or a closely related data role.
• Hands-on expertise with Snowflake and dbt for cloud-based transformation and data modeling.
• Strong experience building dashboards and reporting solutions in Microsoft Power BI.
• Proficiency with DAX and core business intelligence development practices.
• Familiarity with modern ingestion and integration tools such as Fivetran.
• Experience working with marketing and revenue platforms, specific Salesforce experience and additional experience with tools like HubSpot or similar MarTech systems.
• Ability to translate business questions into scalable data models, trusted metrics, and clear reporting outputs.

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