SAS Data Analyst- Remediation
SAS Data Analyst- Remediation
ROLE
– Manage the analysis of customer remediation issues across the globe
– Execute comprehensive data remediation approach on customer issues due to gaps observed in policies and governance
– Conduct impact assessment to identify the size of the customers and the dollar amount impacted due to issues
– Perform issue management and root cause analysis by leveraging analytical methods
– Provide audit support by tracking implementation plans and providing data evidence and artifacts for audit completion
– Manage the analysis of customer remediation issues across the globe
– Execute comprehensive data remediation approach on customer issues due to gaps observed in policies and governance
– Conduct impact assessment to identify the size of the customers and the dollar amount impacted due to issues
– Perform issue management and root cause analysis by leveraging analytical methods
– Provide audit support by tracking implementation plans and providing data evidence and artifacts for audit completion
REQUIREMENTS
– Proficient in SAS, SQL, RDBMS, Teradata, Unix
– Proficient in MS Excel, PowerPoint, and VBA
– Experience with Jira, Bitbucket, and Mainframes
– Exposure to Big data and Python
– Good understanding of banking domain and consumer products
– Knowledge of Finance Regulations and Retail Business/Banking Domain
– Analytical and interpersonal skills
– Ability to identify, clearly articulate, and solve complex business problems
– Data analysis, data profiling, and data management skills
– Excellent communication and inter-personal skills
– Good process management skills
– Ability to work in teams
– Master’s / Advanced Degree in Information Technology/ Computer Applications/ Engineering/ MBA
– Overall experience of 4-5 years with at least 1 year experience in Banking Industry delivering data solutions
– Proficient in SAS, SQL, RDBMS, Teradata, Unix
– Proficient in MS Excel, PowerPoint, and VBA
– Experience with Jira, Bitbucket, and Mainframes
– Exposure to Big data and Python
– Good understanding of banking domain and consumer products
– Knowledge of Finance Regulations and Retail Business/Banking Domain
– Analytical and interpersonal skills
– Ability to identify, clearly articulate, and solve complex business problems
– Data analysis, data profiling, and data management skills
– Excellent communication and inter-personal skills
– Good process management skills
– Ability to work in teams
– Master’s / Advanced Degree in Information Technology/ Computer Applications/ Engineering/ MBA
– Overall experience of 4-5 years with at least 1 year experience in Banking Industry delivering data solutions
