Posted 8 months ago. This role may no longer be accepting applications.

Data/Information Management Analyst

5 - 9 years

Chennai All india

Posted:8 months ago

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Job Description

Role Overview: You will be a part of the DQM team managing the implementation of best in class data quality measurement programs in the retail consumer bank globally. Your critical support areas will include regulatory compliance, metrics design, data governance, DQ scorecard publication, issue management, audit support, and data certification. Key Responsibilities: - Execute business data quality measurements as per regulatory programs like CCAR, AML - Design metrics by identifying critical data elements, creating data quality rules, and validating rules - Standardize data definitions and ensure consistency in measurement across systems/products/regions - Publish monthly/quarterly scorecards at the country level and prepare executive summary reports - Identify defects, investigate root causes for issues, and follow up with stakeholders for resolution - Support audits by identifying control gaps, policy breaches, and providing data evidence - Develop procedures for data certification and certify data as per fit for purpose criteria Qualifications Required: - Analytical Skills: Proficient in data analysis, visualization, formulating analytical methodology, identifying trends and patterns - Tools and Platforms: Proficient in SAS, SQL, MS Excel, PowerPoint, VBA - Domain Skills: Understanding of data definitions, data discovery, data quality framework, data governance, process improvement - Experience: MBA/Master's degree in relevant fields, 5-8 years of hands-on experience in delivering data quality solutions, with at least 2 years in the Banking Industry Additional Company Details: Analytics Information Management (AIM) is a global community within Citi driving data-driven transformation across functions to create actionable intelligence for business leaders. The organization is fast-growing, collaborating with Citi businesses worldwide. Role Overview: You will be a part of the DQM team managing the implementation of best in class data quality measurement programs in the retail consumer bank globally. Your critical support areas will include regulatory compliance, metrics design, data governance, DQ scorecard publication, issue management, audit support, and data certification. Key Responsibilities: - Execute business data quality measurements as per regulatory programs like CCAR, AML - Design metrics by identifying critical data elements, creating data quality rules, and validating rules - Standardize data definitions and ensure consistency in measurement across systems/products/regions - Publish monthly/quarterly scorecards at the country level and prepare executive summary reports - Identify defects, investigate root causes for issues, and follow up with stakeholders for resolution - Support audits by identifying control gaps, policy breaches, and providing data evidence - Develop procedures for data certification and certify data as per fit for purpose criteria Qualifications Required: - Analytical Skills: Proficient in data analysis, visualization, formulating analytical methodology, identifying trends and patterns - Tools and Platforms: Proficient in SAS, SQL, MS Excel, PowerPoint, VBA - Domain Skills: Understanding of data definitions, data discovery, data quality framework, data governance, process improvement - Experience: MBA/Master's degree in relevant fields, 5-8 years of hands-on experience in delivering data quality solutions, with at least 2 years in the Banking Industry Additional Company Details: Analytics Information Management (AIM) is a global community within Citi driving data-driven transformation across functions to create actionable intelligence for business leaders. The organization is fast-growing, collaborating with Citi businesses worldwide.

Skills Required

analytical skills sql soft skills data analysis visualization proficient in formulating analytical methodology proficient in sas proficient in ms excel powerpoint vba good understanding of data definitions data discovery data quality framework data governance including identification of critical data elements process improvement experience pertains to compliance data quality initiatives hands on experience on kpis design issue resolution remediation activities identification of control gaps providing recommendations as per data strategy measuring effectiveness of different dq roll out progra

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