Key Responsibilities:
- Translate raw data into clear business insights and visualizations.
- Apply telecommunications/NOC knowledge (fault management, SLA adherence, MTTR).
- Solve operational problems using quantitative analysis.
- Automate reporting and streamline data processes.
- Collaborate with technical (NOC engineers) and non-technical teams (Field Ops, Management).
Core Competencies & Experience:
- Strong SQL skills for data extraction and analysis.
- Expertise in Power BI, Tableau, or similar; advanced Excel.
- Experience with Python or R for automation/analysis.
- Knowledge of databases (PostgreSQL, MySQL, SQL Server) and ETL processes.
- 3-5 years’ experience as a Data Analyst in telecoms or related industry.
- Bachelor’s degree in Data Science, Statistics, Mathematics, Engineering, or Computer Science.
KPIs:
- Accuracy and timeliness of reports.
- Improved network uptime and reduced MTTR.
- Identification of operational efficiencies and cost savings.
- Effectiveness of dashboards in enabling decision-making.
Impact & Scope:
- High influence across the organization, affecting NOC and Field Ops performance.
- Medium strategic impact through predictive analytics and CAPEX recommendations.
- High operational accountability-directly affects network availability and customer service.
- Manages significant risks including financial loss and reputational impact.
Desired Skills:
- SQL
- Power BI
- Python
- NOC