Job Description

The successful candidate will operate independently, deliver higha??impact insights, and support strategic, operational, and commercial decisiona??making across the organisation. This opportunity is ideal for someone who thrives in a fasta??paced, missiona??driven environment where data directly contributes to reala??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 fielda??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 ata??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 longa??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, problema??solving ability, and data storytelling capability
• Experience working with large datasets and relational databases
• Exposure to technology, telecommunications, or higha??growth environments is beneficial

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Skills Required