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Business Analytics Manager - Use Cases

Mexico, Ciudad De Mexico · Job Posted March 22, 2026
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Job Description

The Business Analytics Manager provides full leadership and supervisory responsibility. Provides operational/service leadership and direction to team(s). Applies in-depth disciplinary knowledge through provision of value-added perspectives or advisory services. May contribute to the development of new techniques, models and plans within area of expertise. Excellent communication and diplomacy skills are required. Generally has responsibility for volume, quality, timeliness of end results and shared responsibility for planning and budgets. Work affects an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. Full supervisory responsibility, ensuring motivation and development of team through professional leadership to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations as well as direction of daily tasks and responsibilities.

Job Responsibility

  • 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
  • Ensures analytics drive appropriate marketing investment decisions and marketing plan activities
  • Analyzes performance of marketing programs and business initiatives
  • Ensures analysis drives appropriate marketing investment decisions and marketing plan activities
  • Forecasting includes creation of key indicator curves and indices
  • Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
  • Makes and implements recommendations through the use of data analysis and segmentation methodologies
  • Integrates key profitability drivers and measures of success make pricing offer recommendations and performs adhoc analytical requests
  • Manages staff. Evaluates subordinates' performance and makes decisions regarding staffing, pay increases, promotions, terminations, etc.
  • 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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Requirements

  • 5-8 years of experience
  • Advanced analytical and business strategy skills
  • Effective communication skills
  • Ability to present to business partners and/or leaders to gain approvals
  • Project and process management skills
  • Excellent written and verbal communications skill
  • Experience with a prior focus in financial services analytics
  • Solid organizational skills and ability to manage multiple projects at one time
  • Self-starter who also has a demonstrated ability to work successfully in team environment and drive
  • Mínimo 3 años de experiencia profesional en: Analítica
  • Riesgo
  • Estrategia
  • Ciencia de datos o áreas afines
  • Experiencia liderando: Proyectos
  • Iniciativas analíticas
  • Implementaciones
  • Deseable experiencia previa en manejo de equipos, no excluyente.
  • Licenciatura en: Actuaría
  • Matemáticas
  • Ingeniería
  • Carreras afines con base analítica sólida
  • Posgrado (MBA, Maestría en Finanzas, Data Science o similar): deseable, no indispensable.
  • Programación y análisis con al menos una de las siguientes herramientas: SAS
  • SQL
  • R
  • Python
  • Sólidos fundamentos analíticos y estadísticos.
  • Experiencia en implementación de soluciones analíticas.
  • Manejo avanzado de: Excel
  • PowerPoint
  • Deseable: Modelos predictivos
  • Machine Learning
  • Conocimiento de productos de banca de consumo.
  • Inglés intermedio – avanzado (indispensable para interacción y documentación).

Nice to have

  • Deseable experiencia previa en manejo de equipos, no excluyente.
  • Posgrado (MBA, Maestría en Finanzas, Data Science o similar): deseable, no indispensable.
  • Deseable: Modelos predictivos
  • Machine Learning
  • Conocimiento de productos de banca de consumo.

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