1. Bachelor's degree or above in Telecommunications, Information Technology, Mathematics, Statistics, Computer Science, Data Analytics, Artificial Intelligence,
Software Engineering, or a related discipline.
2. Familiarity with one or more mainstream relational and/or non-relational (SQL/NoSQL) database technologies.
3. Proficiency in analytical and visualization tools such as SQL, Python, Power BI (or equivalent) for data analysis, model optimization, and dashboard creation with the ability to translate complex analytical findings into clear insights, analysis reports, and actionable recommendations for both technical and non-technical audiences.
4. Strong data visualization skills with experience in designing dashboards and insight-driven reports for business and executive stakeholders.
5. Solid understanding of data mining techniques, analytical algorithms, and platform-based service quality assurance.
6. Ability to adapt quickly to new technologies and analytical approaches (e.g., Vibe Coding, natural language-driven analytics) to streamline workflows and improve productivity.
7. Understanding of project scope dynamics, including role flexibility across single or multi-scenario deployments and remote service integration.
8. Experience applying industry-specific analytics solutions to address tailored customer and business requirements is a plus.
9. Proven customer-centric problem-solving skills, including identifying customer pain points and negotiating data-driven solutions using platform insights is a plus.