Data Analyst with SAS and SQL

Citi; Bengaluru; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

Citi in Bengaluru is seeking an Issue Remediation Senior Analyst – C11 to join our Analytics & Information Management team. This role focuses on data remediation for customer issues, coordinating with Technology, FSO, Analytics groups, Shared Services and Controllers to drive timely resolution.

The position requires strong data analysis, governance and collaboration across functions, with 4–7 years in banking data solutions. You will contribute to MIS reporting and support audits with evidence.

Qualifications

• Advanced degree in IT/CA/Engineering or MBA.
• 4–7 years overall with 2+ years in banking delivering data solutions.
• Experience with remediation analytics and data governance.

Responsibilities

• 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

Skills

Analytical thinking

Data profiling

Data management

Problem solving

Communication skills

Education

Master’s / Advanced Degree in Information Technology/ Computer Applications/ Engineering/ MBA

Tools

SAS

SQL

RDBMS

Teradata

Unix

Excel

PowerPoint

VBA

Jira

Bitbucket

Mainframes

Python

Big data

Job description

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:

• 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)

Job Family Group:

Decision Management

Job Family:

Data/Information Management

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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