• To serve as advisor to senior business management on business Data Modelling strategies
• To understand technology product and vendor strategies, products, and customer preferences to deliver prognostics-based solutions
• Business data analysis and service delivery, particularly with respect to the use of data, and trends and directions
• Research and develop statistical learning models for data collected from vehicle during Prognostics trials
• To collaborate with product management and engineering departments to understand company needs and devise possible solutions
• To establish and maintain contacts within business units to understand business activities and business drivers, business requirements, solutions strategies and alternatives, etc., being considered and/or implemented
• To keep up-to-date with latest technology trends
• To communicate results and ideas to key decision makers
• Ongoing research and assessment of new analysis approaches for potential use within the Enterprise
• To implement new statistical or other mathematical methodologies as needed for specific models or analysis
• To optimize joint development efforts through appropriate database use and project design
• Data Model Development/Programming within data science. It will form the basis of exploring, analysing and visualising data.
• Translate complex functional and technical requirements into detailed design.
• To demonstrate abilities to derive, define, and explicitly represent various artefacts within The Enterprise Framework
• To understand the meanings and relationships between various models
• To develop and maintain project level and Enterprise level model consistency and integration
• To maintain security and data privacy.
• Data Model Performance/Accuracy improvement
• Identify valuable data sources and automate collection processes
• To undertake pre-processing of structured and unstructured data
• To Analyse large amounts of information to discover trends and patterns