The common responsibilities for this position include building analytic tools and business data models, analyzing and interpreting complex datasets, managing data systems, liaising with internal stakeholders to create dashboards, preparing analytics to support business strategies, conducting in-depth analyses using advanced customer analytics and big data technologies, supporting the development of AI/ML models, defining business requirements, developing statistical models and machine learning algorithms, creating reports and visualizations to communicate insights effectively, and performing ad-hoc analysis or reports as assigned. Additionally, the Data Analyst will collaborate with various departments to identify business opportunities, ensure compliance with bank policies and regulatory requirements, and deliver timely, high-quality analytics to internal stakeholders while keeping up-to-date with analytics best practices.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
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Academic degree required as indicated by all job postings
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