Lead Data Analyst - Compliance & Risk Engineering

Wise

Greater London

On-site

GBP 60,000 - 90,000

Full time

14 days+

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Job summary

Wise is seeking an experienced Data Analyst to join the Platform Engineering Tribe. You will help shape how Wise manages compliance and risk through data, building robust data pipelines to support continuous control monitoring while driving strategic opportunities within our secure framework.

You will collaborate with security domains to translate requirements into measurable metrics, dashboards, and actionable insights, using Python, DBT, Airflow and SQL to deliver reliable data products across

Qualifications

  • Proficient in Python with experience in 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 (Looker, Superset, PowerBI, Tableau).
  • Bonus: familiarity with security frameworks (SOC 2, ISO 27001, NIST) and CCM.

Responsibilities

  • Develop, optimise and maintain data pipelines for compliance and risk management.
  • Partner with control owners across security domains to translate requirements into measurable metrics and dashboards.
  • Define KPIs for monitoring IT compliance and risk with accurate data.
  • Identify opportunities to improve data processes and drive efficiency across Wise.

Skills

Python
DBT
Airflow
REST APIs
SQL
Looker
Superset
PowerBI
Tableau

Tools

DBT
Airflow
REST APIs
Looker
Superset
PowerBI
Tableau

Job description

Wise is seeking an experienced Data Analyst to join the Platform Engineering Tribe. You will help shape how Wise manages compliance and risk through data, building robust data pipelines to support continuous control monitoring while driving strategic opportunities within our secure framework.

You will collaborate with security domains to translate requirements into measurable metrics, dashboards, and actionable insights, using Python, DBT, Airflow and SQL to deliver reliable data products across

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