The business analytics int analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
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.
Información adicional
el/la data analytics & scientist sr. lidera proyectos analíticos de alto impacto mediante la aplicación de técnicas avanzadas de análisis, machine learning e inteligencia artificial. Define estrategias, construye soluciones analíticas complejas y asesora a áreas del banco en el uso de datos para decisiones críticas del negocio.
Responsabilidades principales
liderar proyectos de analítica avanzada e ia de principio a fin.
Diseñar, construir y automatizar pipelines de datos con sql, python, spark.
Desarrollar modelos predictivos, segmentaciones avanzadas, nlp, optimización, scoring, etc.
Construir dashboards ejecutivos y herramientas analíticas para áreas de negocio.
Generar recomendaciones estratégicas basadas en datos.
Asegurar calidad de código, buenas prácticas, versionamiento y documentación.
Guiar a perfiles jr. y generar estándares técnicos.
Participar en iniciativas de modernización (migración a cloud, continuos integration / continuos delivery, feature stores, ml ops).
Interactuar con stakeholders de áreas como riesgo, finanzas, marketing, digital, operaciones y ti.
Evaluar y mitigar riesgos operativos y regulatorios en el manejo de datos.
Conocimientos técnicos requeridos
lenguajes y tecnologías
sql avanzado — optimización, particiones, modelado de datos.
Python avanzado — pandas, numpy, scikit‑learn, pyspark, mlflow.
Spark / pyspark para big data distribuido.
Sas (deseable) para integración con sistemas actuales del banco.
R (deseable).
Ia agentica (deseable): diseño de prompts avanzados, orquestación de agentes, flujos autónomos y rag.
Machine learning & ia (deseable)
modelos de clasificación, regresión, clustering, recomendación.
Nlp (tokenización, embeddings, modelos de lenguaje).
Timeseries forecasting.
Feature engineering avanzado.
Validación, tuning, métricas, interpretabilidad.
Ml ops: pipelines, tracking, deployment.
Herramientas
power bi / tableau / looker studio (deseable).
Git, github/bitbucket, jenkins, airflow.
Plataformas cloud (deseable): azure, aws o gcp.
Apis y microservicios (deseable).
Perfil del candidato
3–6 años de experiencia en roles de data science, analytics, bi o similares.
Profundo conocimiento en programación, estadística y machine learning.
Capacidad de influenciar áreas de negocio con insights estratégicos.
Liderazgo técnico, mentoría y ownership de proyectos.
Excelente comunicación oral y escrita, claridad en storytelling con datos.
Capacidad de trabajar bajo metodologías ágiles.
Capacidad de abstracción y síntesis.
Experiencia deseable fintechs y/o banca tradicional.
Job family group
decision management
job family
business analysis
time type
full time
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