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Senior Data Analyst

Job in Midrand, Gauteng, South Africa
Listing for: Network Finance
Full Time position
Listed on 2026-03-03
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below

The successful candidate will operate independently, deliver high‑impact insights, and support strategic, operational, and commercial decision‑making across the organisation. This opportunity is ideal for someone who thrives in a fast‑paced, mission‑driven environment where data directly contributes to real‑world impact.

Key Responsibilities
  • End‑to‑End Analytics:
    • Manage the complete analytics lifecycle, from data extraction to insight delivery.
    • Clean, transform, and maintain datasets to ensure accuracy and reliability.
    • Develop dashboards, reports, and visualisations using leading BI tools.
  • Insight Generation & Decision Support:
    • Analyse trends, patterns, and anomalies across customer behaviour, network performance, revenue metrics, and operational efficiency.
    • Provide actionable insights to leadership across technical, commercial, and field‑operations teams.
    • Support ad hoc queries and business intelligence initiatives.
  • Cross‑Functional

    Collaboration:

    • Work closely with engineering, product, sales, and network support teams.
    • Uphold strong data quality standards and drive continuous improvement initiatives.
Commercial Analytics Focus
  • Customer Metrics: Churn, retention, lifecycle performance, reactivation, and at‑risk indicators
  • Revenue Metrics: MRR, ARPU, LTV, unit economics, and payment behaviour patterns
  • Acquisition Metrics: Funnel performance, lead conversion, CAC, and efficiency tracking
  • Forecasting: Budgeting, scenario modelling, and long‑term planning
  • Network Analytics: Uptime, reliability, capacity utilisation, and field ticket insights
  • Geographic Insights: Coverage vs utilisation and subscriber density patterns
Minimum Requirements
  • 3–5 years’ experience as a Data Analyst or Senior Data Analyst
  • Ability to work independently with minimal supervision
  • Advanced SQL skills
  • Experience with BI/visualisation tools, such as Power BI, Tableau, Looker, or similar
  • Strong analytical thinking, problem‑solving ability, and data storytelling capability
  • Experience working with large datasets and relational databases
  • Exposure to technology, telecommunications, or high-growth environments is beneficial

For more information, contact:
Heidi Joubert, Specialist Recruitment Consultant. Connect with me on Linked In!

#J-18808-Ljbffr
Position Requirements
10+ Years work experience
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