NOC Data Analyst

3 days ago

Johannesburg, Gauteng, South Africa Optimal Growth Technologies Full time R1 000 000 - R3 000 000 per year


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.

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