Data Analyst Security Analytics

Salary: £60,000 - 60,000 per year

Requirements:

• Experience designing and operating reliable data platforms or analytics engineering solutions in production environments.
• Experience building production-quality data pipelines and automation using Python, SQL, or similar technologies.
• Experience modeling data for analytical use cases.
• Strong understanding of modern data engineering practices, including data modeling, ETL/ELT, API integrations, data quality, and observability.
• Experience working in cloud-native environments and integrating data from cloud platforms and SaaS sources.
• Experience building integrations and automation using APIs rather than relying solely on out-of-the-box platform capabilities.
• Strong analytical and problem-solving skills, with the ability to translate complex technical data into actionable insights.
• Experience designing dashboards and metrics that support operational or business decision making.
• Excellent communication skills and the ability to collaborate effectively across Security, Engineering, and other technical teams.
• Experience working within cybersecurity, security engineering, or security governance.
• Awareness of security frameworks such as TISAX, ISO 27001, NIST CSF.
• Experience measuring control effectiveness, building security metrics, or implementing continuous assurance capabilities.
• Familiarity with security telemetry, identity systems, cloud platforms, endpoint security, or vulnerability management tooling.

Responsibilities:

• Design, build, and maintain scalable data pipelines that collect, transform, and enrich security data from systems across our business.
• Integrate data from identity, cloud, engineering, and security platforms to create a unified view of our security posture.
• Build robust data models that provide high fidelity datasets for security analytics, operational reporting, and measuring control effectiveness.
• Design analytics products and visualisations that provide meaningful insights into the health, maturity, and performance of the security programme.
• Ensure data quality, lineage, reliability, observability, and maintainability across our security analytics platform.
• Build automated evidence collection capabilities that reduce manual effort across governance, customer assurance, and security operations.
• Develop analytics that support continuous control monitoring and demonstrate control effectiveness through measurable outcomes.
• Partner with stakeholders across Security to translate security controls into measurable, automated indicators where practical.
• Design and implement automation that replaces repetitive operational processes with scalable engineering solutions.
• Partner with SMEs to develop meaningful KPIs and metrics that help Security understand performance, risk, trends, and operational health.
• Work with stakeholders across Security to understand analytical requirements and translate them into scalable technical solutions.
• Continuously improve how security data is collected, modeled, and consumed across the organisation.

Technologies:

• AI
• API
• Cloud
• ETL
• Hardware
• Support
• Python
• SQL
• Security

More:

Founded in 2017, we are Wayve, the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments, improving the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward, and our intelligent, mapless, hardware-agnostic AI products are designed for automakers to accelerate the transition from assisted to automated driving. We work in a fast-paced environment where we embrace uncertainty, tackle big challenges, and learn continuously as we build a smarter, safer future. We value diversity, new perspectives, and an inclusive culture where we back each other to deliver impact. As our Security Analyst, you will help build the data and automation capabilities that underpin our security programme, working across Security, Security Engineering, IT, and Engineering to establish scalable pipelines, automation, and continuous visibility into our security posture. This is an opportunity to build our security analytics capability from the ground up and help transform the Security programme from periodic assessment to continuous measurement.

last updated 35 week of 2026