• Enable timely availability of good quality insights to facilitate data driven decision making and self-service analytics.
• Design, construct and maintain semantic models such as tabular models/multi-dimensional models to support PSA BUs with scalable analytical models and insights.
• Create harmonized insights across all BUs that is aligned with organisation wide definitions.
• Recommend ideal data schema to the fellow data engineers for combining data from various functions and business units to enable cross-domain analytics to identify various cost and revenue optimization opportunities.
• Work and collaborate with PSA data analytics team at all stages of CRISP-DM Methodology such as business understanding, data understanding, data preparation and data modelling.
• Align to PSA data analytics policy, standards and best practices and document as required.

Technical Requirements: