Data Analyst

Data Analyst - Risk & Resilience

Hybrid London

We're partnering with a global technology group to strengthen their data-driven decision-making within the Risk & Resilience function. The business is moving from manual reporting to automated, insight-led analytics - and this role is central to that transformation.

You'll design and deliver Power BI dashboards, automate reporting, and uncover trends across audit, risk, and cyber domains. Your work will help leadership teams understand control performance, identify gaps, and track progress across global operations.

Key Responsibilities

• Automate and improve data analysis processes using Excel and Power BI.
• Build and maintain dashboards that visualise key risk, audit, and compliance metrics.
• Translate large, complex datasets into actionable insights for senior stakeholders.
• Produce quarterly reports on group-wide risk and audit trends.
• Support continuous improvement of cyber and operational risk reporting frameworks.
• Collaborate with audit and technology teams to enhance data quality and consistency.

Requirements

• Advanced skills in Excel and Power BI (automation, dashboard design, data modelling).
• Strong analytical and problem-solving mindset.
• Understanding of cybersecurity and risk management concepts (e.g., Active Directory, control frameworks, GRC).
• Comfortable working with complex, multi-source data environments.
• Excellent communication and stakeholder engagement skills.
• Degree in a quantitative or technical discipline.

Desirable

• Experience in audit, risk, or analytics functions.
• Familiarity with GDPR, ISO 27001, or similar frameworks.
• Interest in data science, predictive analytics, or automation tools.

This is a permanent opportunity to make a real impact in a global business investing heavily in its risk and data capabilities. If you're passionate about analytics, automation, and helping organisations make smarter security decisions - this is your chance to do it.

Apply now and be part of a forward-thinking team driving change through data.