Job Description

Role title: NOC Data Analyst
Location: Bryanston
Contract duration: 12 months
Role purpose:

• The NOC Data Analyst transforms complex data into meaningful insights to enhance operational excellence within the Network Operations Center.
• This role involves analyzing performance metrics, identifying trends, and providing actionable recommendations to improve network reliability and efficiency.
• By collaborating with various teams, the analyst ensures data-driven decisions optimize performance, reduce costs, and enhance service delivery, utilizing data visualization and analytical techniques to effectively communicate findings and support organizational goals in telecommunications.

Key accountabilities

• Data Translation and Storytelling: The ability to convert complex, raw data into clear, actionable business narratives and visualizations for non-technical leadership.
• Telecommunications/NOC Domain Knowledge: Practical understanding of network operations concepts, including fault management, alarm thresholds, MTTR, and SLA adherence.
• Analytical Problem-Solving: Proven ability to structure ambiguous operational challenges into quantitative analysis problems and deliver specific, evidence-based recommendations.
• Automation and Efficiency: Expertise in scripting and report automation to eliminate manual reporting effort and accelerate the delivery of insights.
• Cross-Functional Collaboration: Proven experience working effectively with highly technical teams (NOC Engineers) and non-technical teams (Field Operations and Management).

Core competencies

• Proficiency in SQL for data extraction, manipulation, and analysis is essential.
• Strong expertise in data visualization tools such as Power BI, Tableau, or similar. (Power BI preferred)
• Advanced Excel skills (pivot tables, VLOOKUP, complex formulas).
• Experience with scripting languages like Python or R for data analysis, manipulation, and automation is highly desirable.
• Familiarity with database management systems (e.g., PostgreSQL, MySQL, SQL Server).
• Understanding of data warehousing concepts and ETL processes

Must have technical / professional qualifications:

• Bachelors degree in a quantitative field (Data Science, Statistics, Mathematics, Engineering or Computer Science).
• 3-5 years of experience in a data analyst role, preferably within the telecommunications, IT infrastructure, or a similar industry
• Proficiency in SQL for advanced data extraction and manipulation.
• Strong expertise in Data Visualization tools (Power BI preferred) for dashboard development.

Skills Required