Platform Data Analyst: Compliance & Risk Insights

慨正橡扯; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Competitive stock options

Flexible working conditions

Annual development budget

Job summary

Wise is seeking an experienced Data Analyst to join the Platform Engineering and Security team. You will help shape how we manage compliance and risk through data, building robust pipelines and driving insights to support Wise's secure and compliant framework.

You will work with Python, DBT, Airflow and REST APIs to create scalable data solutions, collaborate across security domains, and define KPIs for continuous monitoring and improved efficiency.

Qualifications

• Proficient in Python with experience in automation and building data pipelines.
• Strong expertise with 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 like Looker, Superset, PowerBI or Tableau.
• Bonus: Familiarity with security frameworks (SOC 2, ISO 27001, NIST) and CCM.

Responsibilities

• Data Engineering → Build and Optimise Pipelines: Develop, optimise, and maintain data pipelines to support compliance and risk management.
• Understanding Control Requirements & Continuous Monitoring: Translate compliance requirements into measurable metrics, SLAs, and dashboards.
• Compliance and Risk → Define KPIs for monitoring IT systems and data accuracy.
• Opportunity Identification → Insights: Use data to identify opportunities to improve compliance processes and efficiency.

Skills

Python

DBT

Airflow

REST APIs

SQL

BI tools

Security frameworks familiarity

Tools

Looker

Superset

PowerBI

Tableau

Job description

Wise is seeking an experienced Data Analyst to join the Platform Engineering and Security team. You will help shape how we manage compliance and risk through data, building robust pipelines and driving insights to support Wise's secure and compliant framework.

You will work with Python, DBT, Airflow and REST APIs to create scalable data solutions, collaborate across security domains, and define KPIs for continuous monitoring and improved efficiency.