Senior Data Analyst

Our client is a cutting-edge technology company that provides scalable, secure, and efficient solutions for cloud computing and data management. They are at the forefront of cybersecurity and compliance innovation, empowering businesses to leverage the latest technological advancements to mitigate risk, optimise operations, and drive growth. They have played a pivotal role in helping to drive digital transformation initiatives for the payments and settlement, fintech, regtech, central banking, e-commerce, insurance, and online government verticals. With a passion for innovation and a demonstrated history of client achievements across multiple jurisdictions, they have embarked on an exciting shift to digital operational resilience and compliance, fuelled by their commitment to technological innovation.

Looking to turn strategic data insights into business growth in the AI and cyber resilience space?
In this fast-changing digital era, where AI, cybersecurity, and regulation converge, our client is redefining how organisations harness data for intelligent, risk-aware decision-making. They empower enterprises to anticipate threats, adapt to change, and build quantum-safe resilience through secure, data-driven intelligence.

Role Overview
Our client is seeking a Senior Data Analyst who will play a vital role in transforming complex data into actionable insights that fuel their product innovation, marketing intelligence, and enterprise client success. Working across their flagship platforms - RiskAct and OpenRiskLab - you will apply advanced analytical methods, AI-assisted modelling, and data visualisation to enhance decision-making across their clients, partners, and internal teams.

This is initially an equity-only, 100% remote, part-time role (8-10 hours, flexible), and you'll be joining a high-performing, innovative and international team.

Please ensure you understand what Equity-Only means when applying for the role.
Key Responsibilities

• Partner with our Software Engineering, AI/Data Science and Product teams to uncover insights from structured and unstructured datasets that shape product strategies and business initiatives.
• Analyse and interpret multi-source data (user behaviour, cyber risk metrics, market trends, etc.) to identify commercial opportunities and enhance customer engagement.
• Develop and maintain real-time dashboards, automated reports, and visual analytics using open-source tools (e.g., Plotly, Metabase, Superset, Grafana, Power BI, or Tableau Public).
• Collaborate with engineers and data scientists to prepare and validate datasets for AI/ML models supporting cyber risk prediction and compliance analytics.
• Design robust data models and analysis frameworks while ensuring alignment with data governance, privacy, and ethical AI standards (GDPR, DORA, ISO
• Leverage AI-assisted analytics (e.g., LLM-based data summarisation, anomaly detection, NLP-driven business insight extraction) to accelerate data interpretation.
• Translate technical findings into non-technical insights and actionable recommendations for business leaders, clients, and PR/marketing stakeholders.
• Continuously evaluate open-source and AI-driven analytics tooling to improve data accessibility and visualisation across the organisation.

Qualifications

• 5+ years of experience in data analysis or business intelligence, ideally within cybersecurity, fintech, or regulatory technology.
• Proven track record working with Python (Pandas, NumPy, Scikit-learn), SQL, and data visualisation libraries.
• Experience with open-source BI tools and data analytics pipelines across AWS, Azure, or GCP ecosystems.
• Strong proficiency in statistical modelling, data storytelling, and AI/ML integration for business insight generation.
• Familiarity with data governance and privacy frameworks such as GDPR, SOC2, DORA, and CCPA.
• Strong stakeholder communication skills with the ability to bridge technical complexity and business context.
• Prior experience in a startup or high-growth environment, ideally interfacing with marketing, product, or commercial teams.
• Bonus points for experience with LLM-based analytics tools, data automation (Apache Airflow, Prefect), or cyber risk intelligence analytics.

What's On Offer

• Competitive equity-based compensation.
• Collaboration with a mission-driven, innovation-first team of AI, cybersecurity, and data professionals.
• Opportunity to work at the intersection of AI ethics, analytics, and risk management innovation.
• Flexible, remote-first working culture.
• Access to advanced open-source AI tools and continuous learning opportunities.

Apply and help shape the next generation of secure, AI-driven data intelligence, where your insights empower organisations to anticipate risk, act smarter, and accelerate safe digital transformation.