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The Data Science 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.
Job Responsibility:
Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
Impacts the business directly by ensuring the quality of work provided by self and others
impacts own team and closely related work teams
Considers the business implications of the application of technology to the current business environment
identifies and communicates risks and impacts
Drives communication between business leaders and IT
exhibits sound and comprehensive communication and diplomacy skills to exchange complex information
Performs other duties and functions as assigned
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
Lead meetings with Operations stakeholders and subject matter experts to define and gather requirements and overall objectives
Provide regular updates to the Project Manager on progress and risks & issues
Understand and identify appropriate systems and processes working with Operations and Technology to ensure development and onboarding of data feeds are in line with business requirements
Define business rules to enrich, transform, and normalize data across multiple systems and assign data ownership
Create, review, and enhance Business Requirement Documents (BRDs), Feed specifications and Dashboarding requirements to meet the needs of stakeholders
Communicate rollout plans and provide tool demos to stakeholders globally
Utilize standard processes, design tools throughout project development life cycle
Ensure deliverables are being met on a timely basis
Perform business/data analysis using standard technology tools and communicate requirements to Technology teams
Requirements:
8+ years experience in business and data analysis, process improvement and project management
Ability to effectively use complex analytical, interpretive and problem solving techniques
Demonstrated interpersonal, verbal and written communication skills
Methodical attention to detail
Experience using tools for statistical modeling of large data sets
Familiarity with a range of risk information and risk management in an investment bank and corresponding controls/risk measures
Good Experience in basic technology development to write database (Oracle) SQL queries for data analysis, Hands on experience of evaluating data with PL-SQL queries is a must
Good knowledge of Microsoft Office packages (MS Word, Excel, PowerPoint)
Expertise in data analysis and analytics/reporting development
Knowledge of agile software development lifecycle
Experience working on, and managing medium to large cross functional programs
Track record of driving change and innovating in the risk and control space in a collaborative way
Ability to see the whole picture without losing attention to detail
Strong relationship management skills with the ability to effectively handle conflicts and influence negotiations without direct authority
Ability to clearly communicate business requirements to Technology teams
Ability to produce accurate, clear, and concise documents
Ability to resolve user queries related to the platform and analyses/provide quick solutions to remediate issues
Strong oral and written communication skills
Capability of multi-tasking and working under pressure
Ability to target delivery dates and work with minimum supervision
Self-driven person with a problem-solving attitude
Need hands on experience in tools like Collibra, at least 1 industry tool in the field of Data Catalogue Management, Data Dictionary Management, Data Lineage Management, Data Modelling, Managing and defining Critical Data Elements (CDE)
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