• Develop, implement, and maintain robust data models, ETL processes, and data integration pipelines to support reporting and analytics needs.
• Collaborate with stakeholders to understand their reporting requirements, translate them into technical specifications, and ensure timely delivery of high-quality BI/analytical solutions.
• Design and create interactive dashboards, reports, and visualizations using BI tools (predominantly Power BI) to deliver actionable insights to business users.
• Innovate the development and application of new intelligence/analytical methods that can perform consistently and can scale to deliver real value.
• Build prototypes to validate proof-of-concepts and collaborate with internal and external stakeholders to adopt solutions to support decision making, business intelligence, and improvements to all aspects of the company's operations.
• Continuously monitor and optimize the performance, reliability, and scalability of the organisation's BI solutions to meet evolving business needs.
• Collaborate with data engineers to design and implement efficient data integration workflows and processes.
• Identify and resolve data quality issues and inconsistencies, working closely with data stakeholders to ensure data consistency and trustworthiness.
• Lead the identification and delivery of automated reporting using modern data visualization techniques.
• Work closely with other engineering and technology teams to identify strategic opportunities for BI/analytics engineering to be leveraged to create optimal solutions.
• Ensuring the quality, security, and scalability of BI/analytics engineering output remains high including supporting documentation.
• Drive a data-first culture both within the data team and across the company by supporting continual improvement and data enablement activities.
• Mentor, develop and empower colleagues in the domain of analytical expertise and data visualization.
• Serve as technical point of contact for business stakeholders.
• Accountable for technical decision making, defining successful outcomes and owning engineering execution for BI/analytics within the team.
• Develop business cases for investments to drive improvements in metrics.
• Identify new/emerging tools, technologies, and methodologies for adoption to enhance the organisation's existing capabilities

• Experience working with a variety of data sources, database types, query authoring (SQL), as well as common data modelling, analytics and visualisation toolsets.
• Expert knowledge of working with common Data Warehousing/Data Lake technologies as well as BI tooling (ideally Microsoft Power BI and SQL Server Analysis Services).
• Highly proficient in manipulating, processing and extracting value from large, disconnected datasets (near real-time or event-driven data would be an advantage).
• Solid understanding of banking/financial services domain (particularly back-office treasury/finance/accounting and regulatory reporting - eg. CBUAE BRF).

Transguard Group