Business Intelligence (BI) Engineer
Role details
Job location
Tech stack
Job description
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Design and maintain semantic models that support reporting needs across operational and executive audiences.
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Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance.
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Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs.
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Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers.
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Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment.
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Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery.
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Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust.
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Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization. Requirements
Requirements
Description We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams., * 5+ years of experience in business intelligence, analytics engineering, or a closely related data role.
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Hands-on expertise with Snowflake and dbt for cloud-based transformation and data modeling.
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Strong experience building dashboards and reporting solutions in Microsoft Power BI.
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Proficiency with DAX and core business intelligence development practices.
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Familiarity with modern ingestion and integration tools such as Fivetran.
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Experience working with marketing and revenue platforms, specific Salesforce experience and additional experience with tools like HubSpot or similar MarTech systems.
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Ability to translate business questions into scalable data models, trusted metrics, and clear reporting outputs.
Benefits & conditions
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