Data Analyst

1UP Talent; Utrecht; On-site; EUR 90,000 - 130,000; Full time

Job summary

1UP Talent seeks a Senior Insights Data Scientist to turn complex Transaction Monitoring data into actionable insights and production-ready solutions. You combine analytics, software development and business knowledge to optimise TM rules and enable data-driven decisions.

You will build production-ready dashboards and analytical products, collaborate with stakeholders, and drive improvements in monitoring efficiency.

Qualifications

• Master’s degree in a technical field.
• 7+ years of data analysis using Python.
• Experience with PySpark, Databricks and Power BI.
• Proven ability to deliver end-to-end analytics solutions.

Responsibilities

• Build analytical pipelines to automate rule tuning and support multi-parameter analysis.
• Deliver analytics projects from business questions to actionable recommendations.
• Design and develop production-ready dashboards and analytical products for automated tuning and investigation workflows.
• Collaborate across Business, Technology and Operations to improve Transaction Monitoring efficiency and effectiveness.

Skills

Leadership

Communication

Problem solving

Education

Master’s degree in a technical field

Tools

Python

PySpark

Databricks

Power BI

Git / version control

Job description

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