IMG Academy is the world’s leading sports education brand, providing a holistic education model that empowers student-athletes. They are seeking a Business Intelligence Engineer to design and deliver scalable data models and dashboards for descriptive and diagnostic analytics across the organization.
Responsibilities:
- Design and develop dashboards that deliver descriptive analytics (what happened) and diagnostic analytics (why it happened)
- Create intuitive visualizations that enable business users to explore trends, anomalies, and root causes
- Ensure dashboards are performant, reliable, and aligned with enterprise visualization standards
- Collaborate with stakeholders to refine reporting requirements and improve usability
- Optimize dashboards for performance and scalability
- Implement validation logic and testing to ensure semantic models produce accurate and reliable outputs
- Monitor data quality, anomaly detection, and resolve inconsistencies across reporting layers
- Help efforts to maintain lineage and documentation for key reporting datasets
- Support governance processes related to data definitions and reporting standards
- Partner with data engineering teams to align on source data readiness and transformation design
- Work with analysts and business teams to create conceptual and logical definitions for key metrics and KPIs
- Translate business questions into data-driven solutions that support decision-making
- Provide guidance to stakeholders on effective data usage and interpretation
- Identify opportunities to improve data usability, model efficiency, and reporting performance
- Refactor legacy reports into standardized semantic-layer-driven dashboards
- Support adoption of modern analytics engineering practices, including version control and CI/CD workflows
- Contribute to documentation, knowledge sharing, and technical standards across the team
- Contribute to the implementation of best practices for naming standards, metadata, documentation, and model governance
- Partner with Peers in Data Engineering on the design and build for semantic reporting-layer tables that standardize business definitions and support scalable reporting
Requirements:
- 5+ years of experience in analytics engineering, BI engineering, or advanced business intelligence development
- Extensive Tableau experience building production-grade dashboards and analytics tools
- Advanced SQL skills, including complex joins, window functions, aggregations, and performance optimization
- Strong experience leveraging dimensional and semantic data models (facts, dimensions, metrics) for reporting and analytics
- Experience building dashboards that support both operational and strategic decision-making
- Proven ability to translate business requirements into scalable analytics solutions
- Strong attention to detail and commitment to data accuracy and consistency
- Exposure to data quality testing frameworks and automated validation processes
- Experience working in Agile or product-oriented delivery environments
- Experience working with modern cloud data warehouses (e.g., Snowflake, Redshift, etc)
- Familiarity with semantic modeling frameworks or analytics engineering tools (e.g. dbt)
- Experience developing governed KPI frameworks and standardized metrics
- Experience supporting self-service BI environments