Lead Product Analyst - Security Platform

We are the driving force behind Wise, making sure everything runs smoothly. We support our engineering teams so they innovate, build and ship great code quickly and confidently. Our expertise spans Data, Machine Learning, Incident and Risk Management, Hardware, and System Efficiency, all designed to foster an unparalleled Engineering Experience.

We are seeking an experienced Data Analyst to join our Platform Engineering and Security team. This role is pivotal in shaping how we manage compliance and risk through data. You will play a key role in building robust data pipelines to support continuous control monitoring while using insights to drive strategic opportunities within Wise's secure and compliant framework.

Data-Driven Impact: You'll have the opportunity to redefine how we approach compliance and risk within the organisation, leveraging data to highlight areas for improvement and efficiency.

Growth and Innovation: Experiment with cutting-edge technology and methodologies in data analytics and engineering, pushing boundaries in various domains.

Supportive Environment: Enjoy a healthy balance of independence and collaboration, backed by a team of dedicated experts across domains for when you need support.

Data Engineering → Build and Optimise Pipelines: Develop, optimise, and maintain data pipelines using Python, REST APIs, DBT, and Airflow to ensure seamless data flow for compliance and risk management.

Understanding Control Requirements & Continuous Monitoring: Partner closely with control owners across security domains (such as Access Management, Vulnerability Management, Data Governance, etc.) to translate abstract compliance and testing requirements into concrete, measurable metrics, SLAs, and continuous monitoring dashboards.

Compliance and Risk → Define KPIs: Collaborate with stakeholders to define and refine key performance indicators necessary for monitoring compliance and risk for our IT systems, ensuring data accuracy and relevance.

Opportunity Identification → Insights: Utilise data to identify opportunities for enhancing compliance processes, mitigating risks, and driving higher efficiency throughout the organisation.

Proficient in Python, with experience in automation and building data pipelines.

Strong expertise in working with tools like DBT and Airflow for ETL processes.

Skilled in using REST APIs to develop and manage data integrations.

Proficient in SQL and familiar with data visualization tools such as Looker, Superset, PowerBI, or Tableau.

Bonus: Familiarity with security frameworks (e.g., SOC 2, ISO 27001, NIST), and the concept of continuous control monitoring (CCM).