Job Description

Job Summary
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:
Experience in the following areas is highly advantageous:

• 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 exciting Finance vacancies, please visit:
I also specialise in recruiting in the following:
Actuarial roles (Life, Short-Term, Health, Pensions, Quantitative)
- Data Scientists / Data Analysts (Python, R, SQL, Machine Learning)
- Risk Analysts (Credit, Market, Model Risk, Operational)
- Pricing Specialists (Insurance, Financial Products)
- Machine Learning & AI Data Scientists (ML Ops, NLP, Predictive Modelling)
- Quantitative Specialists across Banking, Insurance, and FinTech
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
For more information, contact:
Heidi Joubert
Specialist Recruitment Consultant
Connect with me on LinkedIn! https://www.linkedin.com/in/heidi-joubert-1877a236/
Network Finance
Recruiter

Skills Required