New opportunity exists for a Business Intelligence Analyst to work for a Leading Telecommunications Company that invests in its employees, takes great pride in its vision and values, and emphasizes collective working to drive the growth strategies of the Business. This is a pivotal role within the business as it champions data-driven decisions, supporting the leadership team and business owners with data, analytics, and dashboards pertaining to strategic initiatives, progress, and challenges.The ideal candidate will manage the development, implementation, and execution of critical business information using Business Intelligence (BI) tools to: Develop & monitor operational KPIs,Support forecasting & budgeting processes,Ensure that the use of BI applications enhances company strategies and decision making.Candidate must have numerical skills, be analytically minded, and be able to understand and interpret company data at both commercial and financial levels. Some technical knowledge of data/BI/AI would be an advantage. Must be a people person.QUALIFICATIONS & EXPERIENCESEducationBachelor's degree in Business Analytics, Data Science, Computer Science, Statistics, Information Systems, or a related field.A Master's degree (or an MBA with analytics focus) is a plus.Experience2–4+ years of experience in business intelligence, data analysis, or data visualization.Experience with BI tools (e.g., Power BI, Tableau, Sisense).Hands-on experience with data warehouses, ETL processes, and data modeling.Experience in the telecom industry is a plus, with knowledge of telecom KPIs, customer analytics, and network data.PREFERRED SKILLS & COMPETENCIESExcellent communication and presentation skills, with the ability to translate complex data into business insights.Strong analytical and organizational skills with keen attention to detail and the ability to work with large datasets.Ability to multitask and manage priorities to meet deadlines effectively.Proven experience in business intelligence, data analytics, or data visualization.Strong SQL skills for querying and analyzing large datasets.Hands-on experience with BI tools (e.g., Sisense, Tableau).Proficiency in Python for advanced analytics.Experience working with data warehouses and ETL processes.Familiarity with data modeling and database management.Ability to collaborate with cross-functional teams (finance, marketing, IT, network operations).#J-18808-Ljbffr