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The Data/Information Mgt Analyst 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.
Job Responsibility:
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
Daily deliverable of routine and defined outputs, while at the same time developing knowledge of the broader context in which the work is being performed
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Requirements:
At least 2-5 years relevant experience
Ability to think strategically and the ability to engage resources outside of their direct control to achieve objectives
Know-how on analytic tools (SAS E-miner, Knowledge Seeker, SPSS etc.)
Big data and machine learning experiences are (R, Python etc.) a plus
Business Analysis, Requirement Gathering, Data Analysis
Exposure in SAS, SQL, RDBMS
Proficient in MS Excel, PowerPoint, and VBA
Jira, Bitbucket
Good understanding of banking domain and consumer products (cards, Retail Banking, Deposit, Loans, Wealth management, Mortgage, Insurance, etc.) is preferred
Bachelors/University degree or equivalent experience/ Engineering/ MBA from a premier institute
Overall experience of 2-5 years with experience in Data Analyst role
Experience in Banking Industry is a plus
Nice to have:
Big data and machine learning experiences (R, Python etc.)
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