Security Data Analyst – KPIs, Pipelines & Insights

Wise

Greater London

Hybrid

GBP 60,000 - 90,000

Full time

2 days ago
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Job summary

Wise is seeking an experienced Data Analyst to join our Platform Tribe and Security Squad. You will shape how we use data to manage security and risk, building robust pipelines to support governance and incident response.

Your work focuses on Security Operations and Platforms, measuring the effectiveness of Data Loss Prevention controls, and defining what good looks like for security metrics across Wise. This role offers significant impact and collaboration across engineering and security teams.

Qualifications

  • Analytical mindset to interpret data, identify trends and support data-driven decisions.
  • Strategic thinking to influence stakeholders and align analytics with security objectives.
  • Proactive problem-solving to improve data processes and analytics within security context.
  • 2+ years of analytics experience with strong SQL and data visualization tools.

Responsibilities

  • Define KPIs for monitoring compliance and risk of IT systems with accurate data.
  • Drive accountability by assigning owners and following up on targets and SLAs.
  • Identify opportunities to enhance compliance processes and reduce risk using data insights.
  • Build, optimise and maintain data pipelines using Python, REST APIs, DBT and Airflow.

Skills

Analytical Mindset
Strategic Thinking
Problem-Solver
SQL
Looker
PowerBI
Tableau
REST APIs
DBT
Airflow
Python

Tools

Looker
Superset
PowerBI
Tableau
DBT
Airflow
REST APIs

Job description

Wise is seeking an experienced Data Analyst to join our Platform Tribe and Security Squad. You will shape how we use data to manage security and risk, building robust pipelines to support governance and incident response.

Your work focuses on Security Operations and Platforms, measuring the effectiveness of Data Loss Prevention controls, and defining what good looks like for security metrics across Wise. This role offers significant impact and collaboration across engineering and security teams.

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