Citi Group Data Engineer focus Modeling Analytics - C11 CIUDAD DE MEXICO 

Mexico, Mexico City 

398673491

Responsibilities:

• Gathers operational data from various cross functional stakeholders to examine past business performance.
• Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
• Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies.
• May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis.
• Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
• Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
• Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
• 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.

Qualifications:

• 2-5 years relevant experience
• Advanced process management skills, organized and detail oriented
• Curious about learning and developing new skillsets
• Positive outlook with a can-do mindset

Education:

• Bachelors/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

• Necesario conocimiento en lenguajes Python y/o SAS y/o SQL.
• Necesario dominio en la manipulación de bases de datos.
• Necesario técnicas de modelado de datos.
• Deseable conocimientos en PySpark y/o Spark.
• Deseables técnicas estadísticas sobre datos.
• Deseable experiencia en gestión de grandes volúmenes de datos.
• Deseable conocimiento de las herramientas de BI y lo que requieren.
• Deseable experiencia en metodologías ágiles como SCRUM.
• Deseable experiencia previa con instituciones financieras y de conocimiento en productos bancarios.
• Deseable nivel medio de inglés tanto oral como escrito.
• Experiencia relevante de al menos 2 años.
• Excelente capacidad de resolución de problemas y el trabajo en equipo.
• Excelente comunicación y capacidad para comunicar su trabajo.

Time Type:

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