Senior Data Analyst

The successful candidate will operate independently, deliver highâ??impact insights, and support strategic, operational, and commercial decisionâ??making across the organisation. This opportunity is ideal for someone who thrives in a fastâ??paced, missionâ??driven environment where data directly contributes to realâ??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 fieldâ??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:
Experience in the following areas is highly advantageous:

• Customer Metrics: Churn, retention, lifecycle performance, reactivation, and atâ??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 longâ??term planning
• Network Analytics: Uptime, reliability, capacity utilisation, and field ticket insights
• Geographic Insights: Coverage vs utilisation and subscriber density patterns

Minimum Requirements:

• 35 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, problemâ??solving ability, and data storytelling capability
• Experience working with large datasets and relational databases
• Exposure to technology, telecommunications, or highâ??growth environments is beneficial