Strong experience - Execute, complete, debug and enhance ETL using SQL, Python, SAS (EG & SMC), O365, Excel etc. Ability to present data in a graphical or pictorial format based on requirements using NABs visualisation tools such as Power BI. Demonstrable experience in data pipeline design and build and understand how to deal with various data types and missing data.
Secondary skillsOver 2 years working experience in in one or more of the following functionscollections, fraud, lending operations and payments in financial institution/banking industry. Understand financial services data and able to understand data models and relationships to compile reporting and metrics.

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