Business Intelligence Engineer

Job summary

The engineer will lead the design and implementation of a scalable enterprise Semantic Layer to provide consistent business metrics across various departments. They will collaborate with data engineering teams and stakeholders to transform complex advertising revenue data into trusted, analytics-ready datasets.

Job details

Seeking a highly skilled Senior Business Intelligence Engineer to support the development of the Consolidated Ad Revenue Reporting platform. This role sits at the intersection of Data Engineering, Business Intelligence, and Business Analysis, serving as a critical bridge between backend data platforms and front-end reporting solutions. The successful candidate will lead the design and implementation of a scalable enterprise Semantic Layer that provides consistent, governed, and reusable business metrics across Finance, Sales, Revenue Management, and Executive reporting. This individual will work closely with Data Engineering teams, business stakeholders, and BI developers to transform complex advertising revenue data into trusted, both analytics and AI ready datasets. This role is ideal for someone who is equally comfortable discussing business requirements with Finance users, designing data models, developing SQL transformations, and enabling self-service analytics through modern BI platforms. The project requires advanced skills in semantic modeling, data architecture, business metric standardization, and cloud-based analytics platforms. The contractor will provide expertise in developing enterprise semantic models within the Google Cloud Platform (GCP) ecosystem 5+ years experience in a similar role required

What you’ll do

The engineer will lead the design and implementation of a scalable enterprise Semantic Layer to provide consistent business metrics across various departments. They will collaborate with data engineering teams and stakeholders to transform complex advertising revenue data into trusted, analytics-ready datasets.

Requirements

Candidates must have at least 5 years of experience in a similar role and expertise in developing enterprise semantic models within the Google Cloud Platform ecosystem. The role requires strong skills in data architecture, SQL transformations, and the ability to bridge the gap between business requirements and technical data solutions.

Listed skills

• SQL · Preferred
• Data analysis · Preferred
• Sales · Preferred
• Reporting · Preferred
• Google Cloud · Preferred
• Business analysis · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Business Intelligence
• Data Engineering
• Semantic Modeling
• Data Architecture
• SQL
• Google Cloud Platform
• GCP
• Data Modeling
• Business Analysis
• Revenue Management
• Finance
• Sales
• Reporting
• Analytics
• AI Ready Datasets

Job areas

• Data & Analytics
• Technology
• Engineering
• Consulting
• Finance & Accounting