Data Analyst

We are currently looking for a Data Analyst to join a fast-growing, innovative, and data-driven tech team within a global cybersecurity education company. You’ll play a pivotal role in shaping data strategy and delivering insights that drive smarter decisions across the business.

As a Data Analyst, you’ll own the full data journey, from managing pipelines and creating models to developing visualisations that help teams understand user behaviour and business performance. This is a high-impact role, giving you the chance to transform complex data into meaningful stories that influence strategy and product direction.

The Opportunity

As part of a rapidly scaling technology company, you’ll work with modern data tools to deliver real‑time insights and automation. This Data Analyst role stands out because you’ll have genuine ownership of analytics and visibility across the organisation, not just building dashboards, but defining how data drives growth.

Key Responsibilities:

• Design, build, and maintain data models and pipelines.
• Create engaging dashboards and visualisations to present findings to non‑technical audiences.
• Collaborate with stakeholders to translate business needs into data‑driven outcomes.
• Use analytics to uncover trends, opportunities, and risks that shape company strategy.
• Champion data best practices and innovation within the wider team.

What’s in it for you?

• Competitive salary (based on geography and experience).
• Fully remote working – work from anywhere in the world.
• £2,500 personal development budget for certifications, training, and learning.
• Health insurance (where applicable).

Skills and Experience

Must Have:

• 2+ years’ experience as a Data Analyst, Data Engineer, or Analytics Engineer.
• Advanced SQL skills and experience with data visualisation tools (Tableau preferred).
• Knowledge of data modelling, warehousing, and analytics best practices.
• Strong communication skills with the ability to explain technical findings clearly.

Nice to Have:

• Experience with dbt or similar data modelling frameworks.
• Exposure to event‑based analytics and user behaviour tracking.
• Understanding of machine learning models and techniques.
• Experience in a start‑up or fast‑scaling tech environment.