Data Analytics Senior Analyst Assistant Vice President

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Job Overview

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

• Partner with multiple teams to identify Data anomalies, drive strategic solution, improve straight through processing, manage and successfully deliver Regulatory commitment scope milestones and use cases (e.g. Adjustment Reduction, Finance/Risk use cases etc.,).
• Drive data analysis and solution to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements.
• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
• Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
• Appropriately assess risk when business decisions are made, demonstrating particular 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.
• Works towards continuous improvements in data quality to improve overall health of regulatory reporting and in meeting regulatory commitments.
• Ensure Documentations are updated.
• 100% adherence to compliance, controls and data access reviews are done timely.

Qualifications:

• 6+ years of relevant experience across in Data projects in the field of Development, systems analysis, System Maintenance and Support functions.
• Extensive experience system and data analysis.
• Experience in leading support functions that includes technical root cause analysis and providing short term and strategic remediation.
• Subject Matter Expert (SME) in at least one area of Data Analysis, Applications Development & Support.
• Ability to adjust priorities quickly as circumstances dictate
• Consistently demonstrates clear and concise written and verbal communication
• At least around 4 or more years of experience in handling large volumes of data or DWH / EDWs or Big Data Platforms.
• Prior Experience or Exposure to Data standards is an added advantage.
• Prior Experience working in ETL, Visualization, Data Lineage / Tracing tools.
• Prior experience in Software Maintenance will be an advantage.
• Proficiency in MS Office (Word, Excel, Visio, PowerPoint) with extensive experience using Excel for data analysis
• Any certification on data science or related will be a plus (e.g. AI/ML, Cloud, AWS, GCP, PySpark, MongoDB, Big Data etc.,)

Education:

• Bachelor’s/University degree or equivalent experience