Business Intelligence

Skillset: . General Banking Operations and Accounting Knowledge . Good understanding on Banking Regulations and expertise in statistics . Knowledge on Data visualization and reporting tools like Qlik, Tableau, Power BI, SAP Business Objects, Microsoft SSRS, Crystal reports . Experience with distributed data/computing skills Map/Reduce, Hadoop, Hive, Spark . IDE and integration Tools: SQL Developer, TOAD, Pentaho, Maven, Microsoft SSIS, SAP DI . Database: Oracle, HIVE, MongoDB, Microsoft SQL, MySQL . Adept at using web services and streaming: KAFKA, Redshift, Spark . Knowledge of statistical programming language like SQL, R, and Python . Proficiency in handling reporting packages and ETL frameworks . Web Technologies: JavaScript, JSON, HTML . Proficiency in statistical packages like excel SAS, SPSS to be used for data set analysis . Operating System: Windows, Linux . Good to have a variety of machine learning techniques ( clustering, decision tree learning, artificial neural networks etc.) . Should be capable to working with medium-to-large teams . Should have good problem solving and technical skills, with in-depth knowledge of the banking systems & procedures.