Data and Insights Analyst
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Skills
About the role
At Carnival Corporate Shipbuilding (CCS) we manage the new ship acquisition process for all eight brands within Carnival Corporation. This includes from early ship definition, shipyard selection and contract negotiation, through to construction, commissioning and warranty and everything in between. In addition to building new ships, CCS plays an active role in supporting the existing fleet in operation, as well as identifying new innovations and emerging technologies to support the corporation’s sustainability goals.
Strategy & Business Services is made up of a team of individuals who share their expertise through strong partnerships to drive ways of working that directly contribute to the overall strategy and success of CCS. A key part of the team is our Program Management Office (PMO) who leverage insights to ensure our business processes, tools and ways of working are fit for purpose and build on best practice.
We’re seeking a dynamic Analyst, Data and Insights to join our PMO team. This role will be based in Carnival House in Southampton, on a permanent basis.
We believe in the power of diversity to drive success, valuing a blend of backgrounds, experiences, and skills.
The Analyst, Data and Insights is responsible for providing accurate, timely and meaningful data, reporting and analytical insight that supports decision-making across the CCS portfolio.
Working closely with a variety of stakeholders across CCS, the role will help develop and maintain a complete CCS portfolio and resource view, connecting project, programme, delivery-type and resource data into reliable reporting and insight.
Key accountabilities include:
Portfolio Classification, Reporting & Performance Insight: Produce accurate, timely and insightful reporting across the CCS portfolio, ensuring leadership teams have visibility of performance, delivery progress.
Resource Planning & Capacity Analytics: Support demand, capacity and utilisation reporting across the CCS portfolio.
Data Modelling, Data Quality & Single Source of Truth: Consolidate, cleanse and structure data from multiple systems and sources into reliable analytical datasets.