Data Analyst

• Desarrollar, automatizar y productivizar procesos de datos
• Diseñar, construir y mantener pipelines, transformando códigos y procesos manuales en soluciones confiables, reutilizables y escalables
• Impulsar la evolución hacia ADA/AWS mediante la migración y mejora de procesos, datasets, engines y modelos de datos
• Contribuir a análisis exploratorios, preparación de datos y desarrollo, validación y seguimiento de modelos de machine learning y casos de uso de IA generativa
• Acompañar la implementación y adopción de soluciones con las áreas usuarias
• Comprender objetivos, definir requerimientos e integrar soluciones con procesos y canales
• Realizar seguimiento de la utilización e impacto de las soluciones
• Aplicar control de versiones, programación modular, testing, monitoreo y documentación
• Asegurar trazabilidad, calidad, seguridad y cumplimiento de criterios de gobierno
• Comunicar avances y riesgos y colaborar con equipos técnicos y de negocio

BBVA retail banking data analyst building scalable pipelines, analytics, and AI solutions in Montevideo

Retail Data Analytics Transformation Analyst

BBVA data analyst developing scalable pipelines, analytics, and AI solutions for Retail and Commercial Banking in Montevideo. Bridging data engineering, data science, and business impact.

• Lead high-impact interviews and workshops with Executives, IT, and Business Stakeholders to uncover root-cause problems and define project vision, scope, and success metrics.
• Understand enterprise business strategy and align solutions to clear business outcomes.
• Map “As-Is” and “To-Be” value streams and business processes
• Identify bottlenecks and automation/AI opportunities, distinguishing full automation from human-augmented workflows.
• Quantify benefits (cycle time, error reduction, capacity, CSAT) to support prioritization.
• Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria, including for AI/ML and GenAI features.
• Capture business rules, decision logic, and user journeys.
• Define data requirements (sources, quality, latency, privacy constraints).
• Specify model behavior, guardrails, and human-in-the-loop interactions.
• Address non-functional needs (performance, explainability, auditability, SLAs).
• Navigate complex organizational hierarchies and goals to build consensus.
• Support experimentation and rollout (PoCs, pilots), including test design, feedback loops, training, SOP updates, and communications.
• Partner with architects and developers to ensure designs meet business needs and oversee User Acceptance Testing (UAT).
• Own the quality and readiness of BA deliverables and coach project team members.
• Drive project outcomes by keeping alignment between business objectives, implementation, and success metrics.
• Use Generative AI tools (e.g., Claude, Glean, agents) to accelerate analysis, documentation, and solution design—letting the tech do the heavy lifting while you validate outputs, synthesize themes, and recommend future states.
• Establish, grow, and maintain strong customer relationships as a trusted advisor.

Senior Business Analyst bridging business challenges with innovative AI solutions at phData

Senior Business Analyst, AI & Data

Senior Business Analyst at phData driving AI and digital transformations to deliver measurable business value. Leading stakeholder engagement and documenting business requirements across various domains.

Data Analyst jobs in Uruguay

See all jobs on JobTailor

Retail Data Analytics Transformation Analyst

Senior Business Analyst, AI & Data