Data Analyst

ph3Senior Insights Data Scientist /h3pAs 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. /ph3Practical examples /h3ulliDevelop analytical models and decision logic to identify which customer segments, parameters or rules should be prioritised for tuning. /liliTranslate Above-the-Line and Below-the-Line tuning processes into data-driven recommendations and analytical solutions. /liliBuild production-ready dashboards and decision-support tools that make complex insights accessible to stakeholders. /li /ulh3Top responsibilities /h3ulliAnalytical pipelines: Build and improve pipelines that automate rule tuning and support scalable multi-parameter analysis. /liliEnd-to-end delivery: Deliver analytical projects from translating business questions to presenting clear recommendations to stakeholders. /liliAnalytical products: Design and develop production-ready dashboards and analytical products for automated tuning and investigation workflows. /liliCollaborate closely with stakeholders across Business, Technology and Operations to develop analytical capabilities that improve Transaction Monitoring efficiency and effectiveness. /li /ulh3You and your talent /h3ulliEducation: Master’s degree in a technical field. /liliExperience: More than 7 years of experience in data analysis using Python. /liliTechnical skills: Experience with PySpark, Databricks and Power BI. /liliEngineering practices: Experience building end-to-end solutions using repositories, version control, pipelines and testing frameworks. /liliCommunication: Ability to uncover the real question behind a request and present recommendations convincingly. /liliLeadership: Experience guiding junior and mid-level colleagues and sharing your technical vision. /li /ulh3Facts /h3ulliWorking time: 36 hours per week. /liliData scope: Transaction data from more than 9.5 million customers is analysed. /li /ulh3Eisen /h3ulliMaster’s degree in a technical field /liliMore than 7 years of experience in data analysis using Python /liliExperience with PySpark, Databricks and Power BI /liliExperience building end-to-end solutions using repositories, version control, pipelines and testing frameworks /li /ulh3Competenties /h3ulliThe ability to uncover the real question behind a request and present your recommendations convincingly /liliExperience guiding junior and mid-level colleagues and sharing your technical vision /li /ul /p #J-18808-Ljbffr