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The Data Science Analyst 2 is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.
Job Responsibility:
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
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
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
Considers the business implications of the application of technology to the current business environment
Drives communication between business leaders and IT
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
Requirements:
0-2 years experience using tools for statistical modeling of large data sets
Ability to effectively use complex analytical, interpretive and problem solving techniques
Analytical, flexible, team-oriented and has good interpersonal/communication skills
Demonstrated influencing, facilitation and partnering skills
Proficient in Microsoft
Conocimientos en programación
Experiencia implementando soluciones de alto volumen de datos
Conocimiento en estadística y probabilidad
Conocimiento de modelos de machine Learning
Lenguajes de programación: SQL (1 año), Python, (2 años) Pyspark
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