Manager IT Data & Analytics Jumeirah Group & Corporate

An opportunity has arisen for a Manager – IT Data & Analytics to join Jumeirah Group & Corporate. The role of a Manager – IT Data & Analytics in Jumeirah Group & Corporate involves leading the strategy and execution of data management and analytics initiatives to support business decisions and enhance operational efficiency.

Responsibilities of Manager IT Data & Analytics

• Execute the data and analytics strategy and roadmap for the organization.
• Collaborate with internal and external stakeholders to understand their data needs and deliver solutions that meet their expectations.
• Manage data and analytics projects, including initiation, planning, execution and closing.
• Work with data engineers, data analysts, data architects and relevant IT teams to ensure the delivery of high-quality data solutions that are in line with best practices and standards.
• Design and implement data architectures, pipelines, models, and dashboards using best practices and industry standards, in accordance with the Data Governance frameworks established for Dubai Holding.
• Ensure the reliability, security, and compliance of data sources, systems, and processes.
• Provide data-driven insights and recommendations to support business decision making and problem solving.
• Stay updated with the latest trends and developments in data and analytics technologies and methodologies. Identify and evaluate technologies and tools that are relevant to the business.
• Analyze and interpret data from various sources, including property management systems, points of sale, customer relationship management systems, and other hospitality-related systems.

Requirements of Manager IT Data & Analytics

• Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, Engineering, or related field.
• At least 5 years of experience in data and analytics, with proven track record of leading and managing data projects and teams.

Skills and Knowledge Desired

• Proficient in data analysis, modeling, and visualization tools and languages, such as SQL, Python, R, Tableau, Power BI, etc.
• Strong knowledge of data warehousing, data engineering, data governance, and data quality principles and practices.
• Excellent communication, presentation, and interpersonal skills, with the ability to translate complex data concepts into clear and actionable insights.
• Strong analytical, problem-solving, and critical thinking skills, with the ability to handle multiple tasks and prioritize effectively.

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