Citi Group Data Analytics Senior 

Mexico, Mexico City 

873197925

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.

Requisitos:

• Licenciado en Actuaría, Matemáticas, Ingeniería, Economía o afines. (Carrera terminada/Titulo deseable).
• Indispensable experiencia profesional con lenguajes de programación como SAS Avanzado o SQL o R Intermedio o Python intermedio (Spark deseable).
• Deseable 2 años de experiencia en análisis de información de grandes volúmenes de datos y presentación de insight a alta dirección centrados en la claridad al momento de presentar resultados.
• Nivel de inglés: Intermedio - Avanzado (altamente deseable)

Habilidades:

• Fuertes habilidades analíticas
• Orientado a resultados, resolución de problemas y comunicación efectiva.
• Capacidad para traducir números en estrategias accionables.
• Gestión de proyectos; conocimiento ágil, establecimiento de prioridades, capacidad de seguimiento y ownership de proyectos.
• Habilidades intermedias en Excel y Power Point.
• Habilidades de negociación, liderazgo: capacidad de crear sinergias con otros equipos, colaborativo, proactivo y creativo.
• Conocimiento de los productos de banca de consumo: deseable.
• Resiliencia y adaptación a los cambios.

Time Type:

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