4 Data Definitions Jobs

About us: Analytics Information Management (AIM) is a global community driving data-driven transformation across Citi in multiple functions to create actionable intelligence for business leaders. We are a fast-growing organization collaborating with Citi businesses and functions worldwide. What do we offer: The Data Management team oversees the implementation of best-in-class data quality measurement programs globally in the retail consumer bank. Key areas of support include: - Regulatory Support: Executing business data quality measurements in alignment with regulatory programs like CCAR, AML, etc. - Metrics Design: Identifying critical data elements in different systems, designing data quality rules, and testing and validating these rules. - Data Governance: Standardizing data definitions and ensuring measurement consistency per definitions across systems, products, and regions. - DQ Scorecards: Publishing monthly/quarterly scorecards at the country level and preparing executive summary reports for senior management. - Issue Management: Identifying defects, investigating root causes for issues, and following up with stakeholders for resolution within SLAs. - Audit Support: Identifying cases on control gaps, policy breaches, and providing data evidence for audit completion. Expertise Required: - Analytical Skills - Data analysis and visualization - Proficiency in formulating analytical methodology, identifying trends, and patterns in data - Generating actionable business insights (Preferred) - Tools and Platforms: - Proficiency in SAS, SQL, Python (Added advantage) - Proficiency in MS Excel, PowerPoint, and VBA Preferred - Domain Skills: - Good understanding of data definitions and data discovery - Data Lineage - Data quality framework - Process improvement experience related to compliance and data quality initiatives - Hands-on experience in KPI design, issue resolution, and remediation activities - Identifying control gaps and providing recommendations per data strategy (Preferred) - Knowledge of Banking products and Finance Regulations Soft Skills: - Ability to identify, articulate, and solve complex business problems and present them to management in a structured and simplified form - Excellent communication and interpersonal skills - Strong process/project management skills - Ability to collaborate effectively across multiple functional areas - Thrives in a dynamic and fast-paced environment Educational and Experience Requirements: - MBA / Master's degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, and related fields - 5 to 8 years of hands-on experience in delivering data quality solutions, with a minimum of 2 years of experience in the Banking Industry,

As a Senior Data Analyst (C11) at Citi's Analytics Information Management (AIM) team, you will be part of a global community focused on driving data-driven transformation across the organization. Your role is crucial in creating actionable intelligence for business leaders by managing the implementation of best-in-class data quality programs in the retail consumer bank sector. Your responsibilities will include supporting various critical areas such as regulatory compliance, metrics design, data governance, DQ scorecard preparation, issue management, and audit support. You will be required to utilize your analytical skills to perform data analysis, visualization, and generate actionable business insights. In addition to your analytical expertise, proficiency in tools like SAS, SQL, Python, MS Excel, PowerPoint, and VBA will be advantageous. You should have a good understanding of data definitions, data lineage, data quality framework, and process improvement related to compliance and data quality initiatives. Knowledge of banking products and finance regulations will be beneficial. Your soft skills, including problem-solving abilities, communication, interpersonal skills, project management, and the ability to collaborate across functional areas, will be essential for success in this dynamic and fast-paced environment. To qualify for this role, you should hold an MBA or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, or Engineering from a premier institute. A Post Graduate degree in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, or related fields is preferred. You should have 5 to 8 years of hands-on experience in delivering data quality solutions, with at least 2 years of experience in the banking industry. Join us at Citi and be part of a team that is shaping the future of data-driven decision-making across the organization. (Note: The above job description is a summarized version extracted by Assistant),

You are a Data Analyst (C10) at AIM, a global community focused on driving data-driven transformation across Citi. You play a crucial role in creating actionable intelligence for business leaders by implementing best-in-class data quality measurement programs for the US region's retail consumer bank. Your responsibilities include executing business data quality measurements in compliance with regulatory programs like CCAR and AML, designing data quality rules, ensuring data governance, preparing scorecards and reports, managing issues, and providing audit support. To excel in this role, you must possess strong analytical skills, expertise in data analysis and visualization, proficiency in formulating analytical methodology, identifying trends and patterns in data, and generating actionable business insights. Knowledge of tools like SAS, SQL, Python, MS Excel, and PowerPoint is preferred. Additionally, you should have a good understanding of data definitions, data lineage, data quality frameworks, and data warehouse knowledge. Familiarity with banking products and finance regulations is an added advantage. Soft skills are vital for success in this role, including the ability to solve complex business problems, communicate effectively, demonstrate good process management skills, and collaborate within teams. You are expected to hold an MBA, Mathematics, Information Technology, Computer Applications, or Engineering degree from a premier institute, with a preference for post-graduates in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, or related fields. Ideally, you should have 2 to 5 years of hands-on experience in delivering data quality solutions, including at least 1 year in the banking industry. As a Data Analyst at AIM, you are a key player in the Decision Management job family group within the Data/Information Management job family. This is a full-time position that requires you to leverage your analytical, technical, and domain skills to drive data quality initiatives and provide valuable insights to senior management. If you are a proactive problem solver with excellent communication and interpersonal skills, and a strong track record in data quality solutions, this role offers an exciting opportunity to contribute to Citi's data-driven transformation journey.,

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.,