Business Intelligence Lead

ALU

Business Intelligence Lead overseeing implementation and operational stability of ALU's data warehouse ecosystem. Driving data literacy and ensuring reliable data access across university operations.

Posted 7/14/2026full-timeRemote • 🇲🇺 MauritiusSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in project management and implementation of data warehouse ecosystems, with a strong focus on data literacy and collaboration with cross-functional teams. Proficient in cloud data warehousing and visualization platforms to drive business intelligence and analytics.

Highest-signal resume keywords

Data Warehouse ArchitectureCloud Data Warehousing (AWS Redshift)Data Visualization (PowerBI, Apache Superset, AWS Quicksight)Data Catalog ImplementationBusiness Intelligence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Warehouse ManagementData AnalyticsData ProfilingAutomated Testing FrameworksKPI Standardization

Soft Skills

Cross-Functional CollaborationData Literacy Advocacy

Tools & Technologies

AWS RedshiftPowerBIApache SupersetAWS Quicksight

Industry Keywords

Business IntelligenceData EcosystemEnterprise Data CatalogsData ModelsAI-Assisted Workflows

Tech Stack

Tools & technologies

Amazon RedshiftApacheAWSCloud

About the role

Key responsibilities & impact

Project manage and oversee the implementation and maintenance of the data warehouse ecosystem
Implement and maintain enterprise data catalogs
Partner with cross-functional leadership to establish a centralized catalog of standardized corporate KPIs
Collaborate with the Platform Engineering team to ensure data models accurately reflect business logic
Implement automated data profiling and testing frameworks
Act as the primary champion for data literacy across ALU
Leverage AI-assisted workflows to accelerate report generation

Requirements

What you’ll need

5–7 years of experience in business intelligence or data analytics
Proven track record of architecting and maintaining enterprise-grade data warehouse and analytics environments
Hands-on proficiency with cloud data warehousing concepts (AWS Redshift preferred)
Expert-level mastery of visualization platforms (e.g., PowerBI, Apache Superset, AWS Quicksight)
Bachelor’s or Master’s degree in a quantitative field or equivalent practical experience

Benefits

Comp & perks

Comprehensive safeguarding policy
Flexible working hours
Professional development opportunities