Data Analyst
Role details
Job location
Tech stack
Job description
Collect, clean, structure, and maintain a wide range of datasets, including:
- Market intelligence and industry data
- Subsea cable systems, landings, ownership, and lifecycle status
- Terrestrial fibre interactions and data flows
- Location-based and infrastructure datasets
- Build analytical models and reusable frameworks to support:
- Site prioritisation and feasibility analysis
- Investment and acquisition assessments
- Long-term portfolio and growth strategy
Develop and maintain a proprietary resilience index , assessing countries and locations based on:
- Landing diversity
- Network topology and redundancy
- Physical, regulatory, and geopolitical resilience factors
Design and deliver clear data visualisations and dashboards for senior management and board use.
- Work with mapping and geospatial data to visualise:
- Cable routes and landing points
- Infrastructure clusters and diversity gaps
- Network resilience strengths and weaknesses
- Provide ad-hoc analytical support and insights to senior stakeholders as required.
Requirements
This role is well suited to a high-potential graduate or early-career analyst who is motivated by ownership, responsibility, and long-term progression., * A strong academic background in a quantitative discipline (e.g. data analytics, engineering, mathematics, physics, computer science, or similar).
- Internship or early professional experience in data analytics, modelling, or data-focused roles .
- Hands-on experience with data entry, cleaning, modelling, and visualisation.
- Comfort working with imperfect, incomplete, and unstructured datasets .
- The ability to communicate analytical insights clearly to non-technical senior stakeholders.
Experience with Python, SQL, data visualisation tools, or geospatial analysis is advantageous, but intellectual curiosity and learning ability are more important than a perfect technical skills match.
Personal Attributes (Essential)
- Proactive, curious, and self-directed.
- Comfortable defining problems rather than waiting for instructions.
- Confident operating in a small, senior, fast-moving environment.
- Commercially aware, not purely academic.
- Structured, credible, and calm when engaging with senior leadership.
Benefits & conditions
- Salary: £35,000 - £40,000 (depending on experience).
- Clear and realistic progression to Head of Data & Market Intelligence as the organisation scales.
- Pension scheme (with employer contributions)
- 25 days annual leave plus UK bank holidays