Role Summary

The Business Intelligence Analyst is a cross‑functional role responsible for designing, developing, and maintaining Business Intelligence (BI), analytics, and AI‑enabled solutions that support strategic, tactical, and operational decision‑making across the organization. Working closely with stakeholders across key business functions, the role translates business requirements into high‑quality BI reports, including development of selected analytics and automation solutions, while ensuring appropriate documentation, governance, and ongoing support.

Responsibilities

• Act as the primary functional support and escalation point for BI‑related incidents, enhancements, bug fixes, and logic updates.
• Deliver small‑to mid‑sized BI reporting initiatives and manage associated change requests in line with agreed priorities and timelines.
• Design, develop and maintain small to mid-sized analytics and automation solutions (e.g. BI logic enhancements, Power Automate flows, analytics pipelines), in addition to providing functional support and maintenance.
• Maintain complete documentation and governance for all BI reports and digitalization solutions, including business logic, data sources, and dependencies.
• Track and manage all change requests for BI reports and digital applications, ensuring version control, traceability, and release documentation.
• Review and administer user access and security groups to ensure BI reports are shared with appropriate audiences in accordance with data security policies.
• Monitor BI platform performance and Azure resource usage to proactively identify latency, stability, or capacity issues.
• Maintain demand‑management documentation and ensure all required information is prepared and updated ahead of scheduled review meetings.
• Provide backup support for demand and capacity planning activities, including preparation for prioritization forums and participation in discussion when required.
• Provide user training and ongoing guidance on BI reports and digitalization products to promote adoption and effective usage.
• Support AI‑driven initiatives, Proof of Concepts (POCs), and larger digitalization projects through data preparation, analysis, and reporting contributions.
• Engage regularly with teams across regions and offshore to understand business processes, evolving requirements, and opportunities for analytics and automation.
• Manage and maintain the BI reports repository in Azure Storage, ensuring structure, accuracy, and regular updates.
• Administer licenses and manage access to the Power BI reporting environment, balancing security, performance, and accessibility.
• Collaborate with IT Security to ensure data collection, storage, and reporting solutions are secure, resilient, and compliant with company policies.
• Coordinate with third‑party service providers and internal IT teams to configure and maintain API‑based data integration pipelines.
• Ensure compliance with IT change management, cybersecurity, and data governance policies.
• Stay informed of industry trends, emerging technologies, and best practices by participating in relevant technology forums and knowledge‑sharing initiatives.

Qualifications and Experience

• Bachelor’s degree in relevant technical disciplines such as Computer Science, Data Science, Business Analytics, Engineering, or a related field.

• Proven experience gathering business requirements and translating them into functional and technical specifications.

• Hands‑on experience designing and developing data‑driven reports, dashboards, metrics, and visualizations using the Microsoft Power BI platform.

• Ability to manage priorities, meet deadlines, and adapt to changing requirements and schedules.

• Experience working with Microsoft BI technologies and tooling, including Power BI, Power Query, DAX, and Azure components such as SQL Database, Data Factory, and data modeling.

• Proven experience in data-focused or analytics roles, supporting decision-making through reporting and insights.

• Exposure to, or strong interest in, modern analytics and automation technologies including Python, Microsoft Fabric, Copilot Studio, and Power Automate.

• Demonstrated ability to take initiative, innovate, and contribute to digitalization and AI‑driven solutions with a structured, analytical approach.

• Strong analytical and problem‑solving skills, with the ability to collect, analyze, and translate complex data into accurate and meaningful insights.

• Effective communication skills and the ability to collaborate with both technical and non‑technical stakeholders in a cross‑functional team environment.