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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.
Job Responsibility:
Remediation analysis: Execution of comprehensive data remediation approach on Customer issues
Impact assessment: Identification of size of customers and dollar amount impacted
Issue Management & Root cause analysis: Identifying issues and reasons by leveraging analytical methods
Audit Support: Tracking implementation plans and providing data evidence, artifacts for audit completion
Daily deliverable of routine and defined outputs
Appropriately assess risk when business decisions are made
Requirements:
At least 5-8 years relevant experience
Ability to think strategically and engage resources outside of direct control
Know-how on analytic tools (SAS E-miner, Knowledge Seeker, SPSS etc.)
Big data and machine learning experiences (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.) preferred
Bachelors/University degree or equivalent experience/ Engineering/ MBA from a premier institute
Nice to have:
Big data and machine learning experiences (R, Python etc.)
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