Data Analyst Administrator

The purpose of the Data Analyst Administrator role is to collect, organize, analyze, and report institutional data while providing administrative support to management and various departments. The role involves transforming operational, training, sales, marketing, student, and financial data into clear and useful information that supports management decision-making and improves organizational performance. Responsibilities include collecting, organizing, cleaning, and maintaining data from different departments and systems; preparing daily, weekly, monthly, and annual management reports; developing dashboards and performance reports covering training activities, student enrolment, sales, attendance, revenue, marketing, and operational performance; analyzing trends, patterns, variances, and performance indicators and highlighting important findings to management; maintaining accurate databases for students, courses, trainers, corporate clients, enquiries, and other operational information; monitoring departmental KPIs and preparing performance summaries for management; assisting management with statistics, presentations, reports, and business reviews; verifying data accuracy and identifying missing, duplicated, or inconsistent information; supporting administrative activities including documentation, filing, correspondence, scheduling, and record management; preparing Excel reports, charts, pivot tables, forecasts, and comparative analyses; coordinating with the Sales, Training, Finance, Marketing, and Administration teams to obtain required data; analyzing enquiries, registrations, conversion rates, course performance, and customer trends; supporting management in identifying high-performing and underperforming programmes; maintaining the confidentiality and security of institutional, employee, student, and corporate information; assisting with information required for quality assurance, audits, accreditation, and regulatory reporting; automating repetitive reports and administrative processes wherever practical; using AI and digital tools to improve data analysis, reporting, productivity, and administrative efficiency; and performing other data-related and administrative duties assigned by management.