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An established engineering firm is seeking a Data and BI Manager to spearhead the creation of a new data practice. This hands-on role involves designing a robust enterprise data strategy that aligns with evolving business needs. You will collaborate with stakeholders to ensure effective implementation and drive data quality initiatives. As part of a significant transformation towards hybrid cloud technologies, you will play a key role in shaping the data architecture and analytics framework, fostering a culture of data-driven decision-making. This is a unique opportunity to make a substantial impact within a forward-thinking organization.
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Copello have partnered with an established engineering business in the recruitment of a Data and BI Manager role.
Please note candidates must be eligible for SC Clearance.
In this hands-on role, you will lead the establishment of a new data practice within the organisation, integrating various enterprise data repositories into a cohesive technology architecture and policy framework.
Your responsibilities will include designing and executing the enterprise data strategy, ensuring it aligns with both current and future business needs. You will collaborate with Business and IT stakeholders at all levels to ensure the strategy and its implementation deliver value across the business.
The company is undergoing a significant transformation, investing in hybrid cloud technologies and enterprise systems. In this role, you will play a pivotal part in shaping the overall data architecture and quality framework, enabling data-driven decision-making.
As our next Data and BI Manager, you will champion data quality internally, assisting stakeholders with the development of key performance indicators (KPIs) and management information reporting.
You will also be responsible for corporate Business Intelligence (BI), establishing a BI and analytics centre of excellence, ensuring the quality of corporate BI reports, and ensuring all stakeholder self-reporting is based on a unified, accurate source of data.
Key Requirements: