Data Analyst with SAS and SQL

The Data/Information Mgt Int Anlst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
Issue Remediation Senior Analyst – C11
About us:
Analytics & Information Management
AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world.
Client Remediation Analytics
Remediation team is responsible for cross functional coordination of customer facing remediation efforts. Provide oversight, prioritization, and scheduling of remediation activities with remediation partner teams including Technology, FSO, Analytics groups, Shared Services (mail vendor) and Controllers. R&R AIM Team works as the data Analytic partner for the Issue Remediation Business Team.
Job responsibilities:
R&R team manages the analysis of the customer remediation issues across globe, currently in retail consumer bank. The critical areas are work is divided into:
Remediation analysis: Execution of the comprehensive data remediation approach on Customer issues due to gaps observed in policies and governance, Self-identified, or through IA.
Impact assessment: Identification of size of the customers and the dollar amount impacted due to these issues.
Issue Management & Root cause analysis: Identifying the issues and reasons for the issues by leveraging analytical methods.
Audit Support: Tracking implementation plans and providing data evidence, artifacts for audit completion
Expertise Required:
Tools and Platforms
Proficient in SAS, SQL, RDBMS, Teradata, Unix
Proficient in MS Excel, PowerPoint, and VBA
Jira, Bitbucket
Mainframes
Exposure to Big data, Python
Domain Skills
Good understanding of banking domain and consumer products (Retail Banking, Deposit, Loans, Wealth management, Mortgage, Insurance, etc.)
(Preferred) Knowledge of Finance Regulations, Understanding on Retail Business/ Banking Domain
Analytical Skills
Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
Data analysis, Data profiling, Data Management skills
MIS reporting and generate actionable Business Insights
Coming up with automated Techniques to reduce redundancy, remove false positives and enhance optimization
Identification of control gaps and providing recommendations as per data strategy
(Preferred) - Risk & control Metrics & Audit Framework Exposure
Interpersonal Skills
Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
Should have excellent communication and inter-personal skills
Good process/project management skills
Ability to work well across multiple functional areas
Ability to thrive in a dynamic and fast-paced environment
Identifying and implementation of new collaboration ideas
Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
Proactive approach in solving problems and eye for details, identifying process gaps in solution implementation and suggest the alternatives
Other Info:
Education Level: Master’s / Advanced Degree in Information Technology/ Computer Applications/ Engineering/ MBA from a premier institute
Overall experience of 4-7 years with At least 2 years of experience in Banking Industry delivering data solutions
Job Category: Decision Management
Schedule: Full-time
Shift: Regular Local Working Hours (aligned with NAM working hours)
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Job Family Group: Decision Management
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Job Family:Data/Information Management
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Time Type:Full time
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Most Relevant Skills Please see the requirements listed above.
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Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.
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Skills
SQL, Python, Git, Data Analysis, Excel, Project Management, Jira, Wealth Management