In charge of the creation and the update/enrichment of product master data according to the requirements and in compliance with agreed guidelines and standards
Data analysis and reporting support the setup and maintenance of daily operation dashboards and reports covering SLAs such as quality, efficiency, output and utilization. Analyze abnormal metrics (e.g. root causes of fluctuations, trend changes) and provide data insights to project leaders.
In charge of the creation and the update/enrichment of customer master data according to the requirements and in compliance with agreed guidelines and standards
Absorb BAU responsibilities across Finance system operations, including configuration, issue resolution, user support, and management of service requests, change requests, and user access reviews.
Qualifications in data analytics, statistics, economics, mathematics, computer science, public policy, social sciences or a related discipline, with relevant experience in data analysis, business intelligence, programme evaluation or operations analytics.
Analyze corporate website and mobile asset performance to identify gaps in the digital conversion funnel. Turn raw data into actionable revenue opportunities by recommending specific site-side optimizations to the marketing team.
Provide leadership expertise to analyse, recommend, develop and implement data driven solutions to uplift overall Consumer Financial Services, Risk & Prevention risk surveillance capabilities covering Sales, AML and Operational risk
Strong Python proficiency and data science foundations, including exploratory data analysis and visualization, predictive modelling, and machine learning.