Primary responsibilities include collecting and interpreting data from AWS Datalake and datawarehouse, analyzing cyber tool results, creating dashboards for global cyber teams, identifying data patterns and trends, defining new data products, locating process improvement opportunities, and automating recurring tasks.
Required experience includes 3 years in a similar role, computational skills, proficiency in statistical analysis using Python or Spark, ability to handle large datasets, problem-solving using data, software development skills, git knowledge, data visualization expertise, and advanced SQL querying capabilities.
The role offers a hybrid working model, flexible hours, opportunities for international collaboration, continuous technical training, competitive salary, comprehensive financial and social benefits, career development plans, and the chance to work on impactful technological projects in the financial sector.
