Analytics and Data Insights Manager
Role details
Job location
Tech stack
Job description
We are seeking a hands-on Analytics and Data Insights Manager to join our IT team in a newly created role that will establish the foundational capabilities for enterprise-wide data insights and analytics. This position will be instrumental in transforming our data landscape from legacy reporting systems to a modern, self-service analytics platform that empowers business users across the organization.
Requirements
Design Principles, Business Intelligence, Production Processes, Reporting, Data Extraction, Addition, Database, Supply Chain, Business Requirements, Integration, Data Governance, Sap, Analytics, Machine Learning, Business Acumen, Leadership, Data Integration, Sql, * Proven track record of modernising analytics and reporting capabilities within a manufacturing business (with emphasis on sales/commercial data)
- Experience building analytics capabilities from the ground up with Microsoft and SAP technologies
- Strong understanding of manufacturing operations, production processes, and industrial KPIs
- Strong business acumen with ability to translate business requirements into technical solutions
- Excellent communication skills with ability to present complex technical concepts to non-technical stakeholders
- Project management experience with ability to manage multiple initiatives simultaneously
- Patience and a realisation that we want to move in the right direction but are at the stat of the journey
ADDITIONAL REQUIREMENTS
- 3+ years of experience in manufacturing industry or industrial operations
- Experience with data governance and data quality management
- Understanding of manufacturing processes, supply chain, and operational metrics, * Master's degree in a relevant field
- Microsoft certifications (Azure Data Engineer, Power BI Data Analyst, Fabric Analytics Engineer)
- Experience with additional Microsoft tools (Azure Data Factory, Synapse Analytics, etc.)
- SAP certification or deep SAP technical knowledge
- Previous experience in a similar industry or business environment
- Knowledge of machine learning and advanced analytics techniques
- Understanding of IoT data integration and real-time manufacturing analytics