Data Analyst

Senior Insights Data Scientist

As a Senior Insights Data Scientist you turn complex Transaction Monitoring data into actionable insights and production-ready solutions. You combine advanced analytics, software development and business knowledge to build automated solutions that help colleagues assess and optimise Transaction Monitoring rules and make better data-driven decisions.

Practical examples

• Develop analytical models and decision logic to identify which customer segments, parameters or rules should be prioritised for tuning.
• Translate Above-the-Line and Below-the-Line tuning processes into data-driven recommendations and analytical solutions.
• Build production-ready dashboards and decision-support tools that make complex insights accessible to stakeholders.

Top responsibilities

• Analytical pipelines: Build and improve pipelines that automate rule tuning and support scalable multi-parameter analysis.
• End-to-end delivery: Deliver analytical projects from translating business questions to presenting clear recommendations to stakeholders.
• Analytical products: Design and develop production-ready dashboards and analytical products for automated tuning and investigation workflows.
• Collaborate closely with stakeholders across Business, Technology and Operations to develop analytical capabilities that improve Transaction Monitoring efficiency and effectiveness.

You and your talent

• Education: Master’s degree in a technical field.
• Experience: More than 7 years of experience in data analysis using Python.
• Technical skills: Experience with PySpark, Databricks and Power BI.
• Engineering practices: Experience building end-to-end solutions using repositories, version control, pipelines and testing frameworks.
• Communication: Ability to uncover the real question behind a request and present recommendations convincingly.
• Leadership: Experience guiding junior and mid-level colleagues and sharing your technical vision.

Facts

• Working time: 36 hours per week.
• Data scope: Transaction data from more than 9.5 million customers is analysed.

Eisen

• Master’s degree in a technical field
• More than 7 years of experience in data analysis using Python
• Experience with PySpark, Databricks and Power BI
• Experience building end-to-end solutions using repositories, version
  control, pipelines and testing frameworks

Competenties

• The ability to uncover the real question behind a request and present your
  recommendations convincingly
• Experience guiding junior and mid-level colleagues and sharing your
  technical vision

Vul je gegevens hieronder in, dan nemen we binnen 2 uur contact met je op om samen te kijken of er een match is. Heb je nog vragen? Bel ons op 030-249 66 96 of stuur een e-mail naar We helpen je graag verder!