Specialist, Postpaid Insights & Analytics

Job Summary

Responsible for analysing data, preparing reports and forecasts, maintaining data systems, identifying trends and process improvement opportunities, and supporting management reporting and business decision-making.

The Day-To-Day Activities

• Interpret data, analyse results using statistical techniques, and prepare ongoing reports, comparable analysis, and research to validate findings, results, trends, and recommendations.

Acquire data from primary data sources, maintain databases or data systems, and filter and clean data by reviewing reports to identify and correct data issues.

Facilitate input and review of Annual Operating Plan (AOP), Mid-Year Plan, monthly forecasts, and assist in creating standard/ad-hoc reports, dashboards, and business intelligence tools for management monitoring.

Work closely with marketing, operations, and business teams to identify trends in complex data sets, drive operational and process improvements, and support ad-hoc projects and other assigned duties.

About You

• Bachelor’s degree in Business Analytics, Statistics, Mathematics, Computer Science, Information Systems, or other related disciplines, or relevant Professional Certificates.
• At least 4 years of related working experience in data analytics, reporting, or a similar role involving data mining, analysis, interpretation of complex data sets, and generation of actionable business insights to support decision-making.
• Strong passion for data mining and analysis, with solid analytical and problem-solving skills to review, interpret, and derive insights from data.

Proficient in Microsoft Office applications, particularly Excel, Word, and PowerPoint, with good written and verbal communication, planning, and organisational skills.

A creative, positive, persistent, meticulous, and highly motivated team player with strong interpersonal skills, able to multitask and work effectively in a fast-paced, deadline-driven environment while collaborating closely with cross-functional teams.