About the role

AI summarised

The Global Facilities Data Analytics Program Manager leads enterprise data architecture, advanced analytics, dashboard development, and automation initiatives. This role involves designing scalable data models, creating complex Power BI dashboards with DAX and Power Query, building automation workflows using Power Automate and Power Apps, and ensuring data integrity and governance. The position requires strong technical expertise, global collaboration, and the ability to translate complex data into actionable insights for leadership decision-making.

IDMOnsiteFront End

Key Responsibilities

Design scalable enterprise data models and reporting frameworks
Establish KPI definitions and structured data logic
Ensure data integrity, performance optimization, and governance standards
Drive reporting automation and digital transformation initiatives
Design and develop complex PowerBI dashboards with multi-layered data models
Write advanced DAX measures and calculated columns
Build data transformation pipelines using Power Query (M Language)
Integrate multiple data sources into structured semantic models
Optimize performance for large and complex datasets
Deliver executive-level dashboards with drill-down, dynamic filtering, and advanced analytics and visualization logic leveraging machine learning and AI models
Develop workflow automation using Power Automate
Build business applications using Power Apps

Requirements

Proven track record of independently delivering complex, enterprise-scale BI solutions
Strong expertise in data modeling, semantic layer design, and scalable analytics architecture
Ability to design analytical solutions beyond basic reporting use cases
Demonstrated ownership of end-to-end dashboard delivery, from data ingestion through production deployment
Strong problem-solving skills with the ability to structure ambiguous and complex data challenges into clear analytical frameworks
Experience working effectively in cross-functional and global environments
Strong communication skills, with the ability to clearly explain technical concepts to non-technical stakeholders
Familiarity with cost information systems, including SAP and SAP Analytics Cloud Planning (SAC-P)
Highly collaborative team player with excellent interpersonal skills
Organized, detail-oriented, and highly focused on data accuracy and quality
Demonstrates a high level of integrity in managing sensitive and confidential data
Culturally aware, with the ability to build long-term trust and working relationships across a global Facilities network
Adaptable and resilient in dynamic, fast-changing business environments
Continuous improvement mindset, consistently seeking opportunities to enhance efficiency and improve business processes in partnership with stakeholders
Bachelor's Degree and above specialized in Engineering, Information systems, Business, or Finance or equivalent experience
5+ years of professional experience in data analytics is required, with experience applying analytics tools and BI platforms (e.g., Power BI) to build dashboards, models, and analytical insights