We are seeking an Operations BI Analyst to form an integral part of our Research, Learning and AI team and work closely with our Operations team. The Operations Department at EIDU is dedicated to strategically enhancing education in both public and private schools through the effective rollout of EIDU’s Digital Learning Programs. You will be responsible for identifying inefficiencies, optimizing processes, and informing strategic decisions. You will collect and analyze data from various sources, using tools to create dashboards and reports, and communicating actionable insights to leadership. What you will do: Analyze operational data to identify trends, inefficiencies, and opportunities for improvement. Develop and maintain dashboards and reports using BI tools (e.g., Power BI, Tableau, Metabase, Looker). Collaborate with cross-functional teams to understand data needs and deliver insights. Monitor key performance indicators (KPIs) and provide regular updates to stakeholders. Support forecasting, budgeting, and strategic planning through data analysis. Ensure data accuracy, integrity, and consistency across systems. Automate reporting processes to improve efficiency and reduce manual work. Conduct ad-hoc analyses to support operational initiatives and decision-making. What you should bring: Bachelor’s degree in Business, Data Analytics, Information Systems, or related field. 5+ years of experience in BI, data analysis, or operations analytics. Proficiency in SQL and BI platforms (e.g., Power BI, Tableau, Qlik). A deep understanding of business processes and operational workflows, including how different functions work together. Analytical mindset: The ability to think critically and use logical reasoning to identify problems and evaluate solutions. Communication: Strong verbal, written, and visual communication skills to translate complex technical information for non-technical stakeholders. Problem-solving: The capacity to identify root causes and develop innovative, data-driven solutions. Attention to detail: A high degree of meticulousness to ensure accuracy in data and reports. Ability to translate complex data into clear, actionable insights. Experience in a fast-paced, data-driven environment.
