Description

• We are looking for a dynamic and motivated RMS Back Office Support who thrives in a fast-paced environment and is passionate about technology.
• If you have a proactive mindset, a strong desire to learn and grow, and the energy to tackle challenges head-on, we would love to have you join our team!

Summary

• Responsible for remote monitoring, managing telecom site operations, and performing data analysis to optimize network performance.
• This role involves analyzing large data sets to identify trends, generate reports, and support decision-making processes, while also addressing network issues in real time.

Responsibilities

• Monitor and manage network elements remotely through RMS platforms.
• Provide back-office support for field engineers by issuing remote commands, diagnostics, and performance checks and providing data-driven insights to resolve issues.
• Log, escalate, and follow up on faults and alarms in coordination with NOC and field teams.
• Maintain accurate logs of remote interventions, system health checks, and issue resolutions.
• Generate daily/weekly reports on system performance, alarm trends, and remote actions taken.
• Assist in remote configurations, firmware updates, and parameter changes as instructed by the engineering team.
• Collect, clean, and analyze data from remote monitoring systems and network equipment
• Develop and maintain dashboards to track network performance metrics.
• Identify patterns and trends to predict potential issues.
• Prepare analytical reports highlighting key insights and recommendations.

Requirements
Educational Qualifications

• Bachelor’s Degree or Diploma Data Science, Computer Science, Electrical Engineering, or related field.
• Certifications in Data Analytics (Data Analytics, Microsoft Power BI) and telecom monitoring are an advantage.

Experience

• Previous experience in a telecom NOC (Network Operations Center) with data analysis responsibilities is highly desirable.
• Minimum 2-3 years of experience in telecom operations, network monitoring and data analytics.