Finance Data Analytics Manager

Job Description

REQUIREMENTS

• 8+ years of experience in finance system and procedures.
• Degree in a relevant field, such as Business Administration, Data Science, Information Systems, Business Analytics or a related field etc.
• Relevant experience including (but not limited to) data management, governance, analytics, or a related area, with a focus on service-oriented functions.

RESPONSIBILITES

• Enforce data governance frameworks and policies to ensure data quality, consistency, and compliance with regulatory requirements. Oversee data stewardship practices, including data classification, metadata management and data lineage tracking.
• Collaborate with Enterprise Data & Analytics and IT to ensure robust data security measures and adherence to data protection laws.
• Lead the establishment and maintenance of a strong data domain foundation that supports efficient data integration, accessibility, and accuracy across Group Services functions.
• Collaborate with stakeholders to define and document data domains, standards, and taxonomies. Ensure that data architecture aligns with the organisations strategic goals and support scalable analytics and reporting solutions.
• Oversee the development and implementation of advanced analytics models and methodologies to extract insight from data.
• Provide strategic direction on the use of data analytics to identify trends, predict outcomes, and drive business performance improvements and collaborate with business leaders to translate complex data findings into clear, actionable insights that support decision making.
• Define, develop, and manage KPIs that align with the strategic objectives of Group Services and the broader organisation. Lead the creation of dashboards, reports, and visualizations that provide real-time insights into performance and operational efficiency. Ensure that reporting solutions are user-friendly, accessible, and tailored to the needs of different stakeholders.
• Manage and mentor a team of data professionals, fostering a culture of collaboration, innovation, and excellence.
• Stay up-to-date with industry trends, tools, and best practices in data governance, analytics, and reporting, while driving continuous improvement initiatives to optimize data processes and reporting frameworks.
• Manage the enablement of self-service analytics. Collaborate with Enterprise Data & Analytics COE to enable business stakeholders to gain insights from their data and engage them in data discovery, analysis, visualisation, and exploration.

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