Data Quality/ Data Governance & SAS- C11 - CHENNAI Citi
Citi
Office Location
Full Time
Experience: 5 - 5 years required
Pay:
Salary Information not included
Type: Full Time
Location: Chennai
Skills: Analytical skills, Data Analysis, Data Visualization, SAS, SQL, Python, MS Excel, Powerpoint, VBA, Process Improvement, Issue resolution, Communication skills, Interpersonal Skills, Formulating analytical methodology, Identifying trends, patterns with data, Generating actionable Business Insights, Data definitions, data discovery, Data Lineage, Data Quality Framework, KPIs design, remediation activities, Identification of control gaps, Recommendations, Banking products knowledge, Finance Regulations knowledge, Process management skills, Project management skills, Ability to work well across multiple functional areas, Ability to thrive in a dynamic, Fastpaced Environment
About Citi
Job Description
As a Senior Data Analyst (C11) at Citi's Analytics Information Management (AIM) team, you will be an integral part of a global community dedicated to driving data-driven transformation across the organization. Your primary focus will be on creating actionable intelligence for business leaders by implementing best-in-class data quality measurement programs within the retail consumer bank on a global scale. Your responsibilities will include supporting critical areas such as regulatory compliance by executing business data quality measurements in alignment with programs like CCAR and AML. You will also play a key role in designing metrics, standardizing data definitions, preparing scorecards, managing data governance, identifying and resolving issues, and providing support for audits. To excel in this role, you must possess strong analytical skills, with the ability to analyze and visualize data, formulate analytical methodologies, identify trends and patterns, and generate actionable business insights. Proficiency in tools like SAS, SQL, Python, MS Excel, PowerPoint, and VBA will be advantageous. Additionally, a good understanding of data definitions, data lineage, data quality frameworks, and process improvement related to compliance and data quality initiatives is essential. Experience in designing KPIs, issue resolution, remediation activities, and identifying control gaps will be beneficial. Ideal candidates should hold an MBA or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, or Engineering from a premier institute. A background in Computer Science, Mathematics, Operations Research, Econometrics, or Management Science is preferred. You should have 5 to 8 years of hands-on experience delivering data quality solutions, with at least 2 years in the Banking Industry. In addition to technical skills, soft skills such as the ability to solve complex business problems, excellent communication, interpersonal skills, process/project management abilities, and the capacity to work effectively across functional areas will be crucial. You should thrive in a dynamic, fast-paced environment. If you are excited about leveraging your expertise to drive data-driven transformation and create actionable intelligence within a global banking environment, we encourage you to apply for this challenging and rewarding position.,