RMS Back Office Support at Galooli

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.

Responsibility

• 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.

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.