Data Analyst

Intellect Group
Weybridge
1 month ago
Applications closed

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Job description


Data Analyst (Foundational Hire) – Digital Infrastructure

Location: Hybrid (initially remote, then 2 days per week from Weybridge, Surrey)


Salary: £35,000 – £40,000


Sector: Digital Infrastructure / Fibre Networks / Data Centres


Employment Type: Permanent


Overview

Intellect Group is partnering with an early-stage, institutionally backed digital infrastructure platform operating at the intersection of subsea cables, terrestrial fibre networks, and interconnection-focused data centres.


Backed by tier‑one infrastructure investors and working with some of the world’s largest telecommunications operators and global technology companies, our client is building a data‑led platform focused on the development, acquisition, and operation of carrier‑neutral cable landing stations and adjacent digital infrastructure assets.


The business is intentionally lean, with a senior leadership team of approximately five people, board‑level governance, and a strong execution‑driven culture. This hire will be one of the company’s next two strategic additions.


The Opportunity

We are seeking a Data Analyst to join as the organisation’s first dedicated data and analytics hire.


This is a foundational role. There is no existing data team, no predefined data stack, and no established analytical frameworks. The successful candidate will work directly with senior leadership to define what data is collected, how it is structured, and how it is used across investment, development, strategy, and board‑level decision‑making.


This is not a reporting‑only position. It is a system‑building, intelligence‑driven role with meaningful responsibility from day one and a clearly defined progression path to Head of Data & Market Intelligence as the platform scales.


Key Responsibilities

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.

Ideal Candidate Profile

This role is well suited to a high‑potential graduate or early‑career analyst who is motivated by ownership, responsibility, and long‑term progression.


You are likely to have:



  • 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.

Location & Working Pattern

  • Fully remote initially during the early growth phase.
  • Transitioning to hybrid working: 2 days per week from Weybridge, Surrey, once the UK presence is established.
  • Regular collaboration with international stakeholders.

Compensation & Progression

  • 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


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