Business Intelligence Manager [CCP for ICT Professionals (Data and AI)]

Business Intelligence Manager [CCP for ICT Professionals (Data and AI)]We are looking for a proactive and data-driven Business Intelligence Manager to lead the development of business intelligence solutions that support strategic decision-making across the organisation. This role is responsible for transforming complex business data into meaningful insights through dashboards, analytics, forecasting, and performance reporting. Key Responsibilities:Design and maintain dynamic dashboards using advanced Excel functionalities to provide visibility into business performance metrics such as sales pipeline, campaign performance, lead conversion rates, and operational KPIs. Utilize pivot tables, Power Query, Power Pivot, and data modeling techniques to extract and consolidate data from various sources (e.g., ClickUp, ActiveCampaign, CRM exports).Develop interactive visualizations using features such as slicers, conditional formatting, charts, and form controls to enable real-time filtering and scenario analysis for stakeholders.Automate repetitive reporting tasks through Excel Macros or VBA scripting, where applicable, to increase efficiency and reduce manual errors.Implement data validation rules and error-checking mechanisms to ensure reporting accuracy and data quality across all dashboards.Build forecasting models, trend analyses, and performance tracking tools that support decision-making at management level.Integrate Excel dashboards with cloud-based tools (e.g., shared drives, OneDrive, Google Sheets) for real-time collaboration and access by cross-functional teams.Job RequirementsEducation & Experience:Bachelor's degree in Computer Science, Business Analytics, Information Systems, or related field. Master’s degree is a plus.Minimum 5 years of experience in business intelligence, data analytics, or related roles, with at least 2 years in a managerial or leadership role.Technical Skills:Proficiency in BI tools (e.g., Power BI, Tableau, QlikView).Strong SQL skills and experience with data warehouses and ETL processes.Familiarity with Python, R, or other data manipulation tools is a plus.Solid understanding of database architecture and data modeling.Soft Skills:Strong analytical and problem-solving skills.Excellent communication and stakeholder management abilities.Proven leadership and team management experience.Ability to work cross-functionally and manage multiple priorities.Preferred Qualifications:Experience in a fast-paced or scale-up environment.Background in finance, operations, sales analytics, or product analytics.