Data Analyst
Intellect Group
- Weybridge, England, United Kingdom
- Weybridge, England, United Kingdom
Über
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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Sprachkenntnisse
- English
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