Data Analyst

• A solid and innovative company with a strong market presence.
• A dynamic, diverse, and multicultural work environment.
• Leaders with deep market knowledge and strategic vision.
• Continuous learning and development.

FBS Data Analyst

• Develop and maintain management and executive reporting that provides clear, accurate, and actionable insights to business leaders
• Support Finance and Distribution teams with analytics related to agent performance, business growth, profitability, and operational effectiveness
• Perform data validation, quality assurance, and reconciliation activities to ensure reporting accuracy and reliability
• Analyze large datasets to identify trends, risks, opportunities, and business performance drivers
• Build and enhance dashboards, reports, and analytical solutions that support strategic decision-making
• Conduct performance measurement, trend analysis, and financial impact assessments for Exclusive Agency (EA) and Distribution initiatives
• Support advanced analytics projects, including predictive, prescriptive, and scenario-based analyses
• Gather, transform, and analyze data from multiple sources to create scalable reporting solutions
• Collaborate with Finance, Distribution, Technology, and other business stakeholders to define reporting requirements and analytical priorities
• Translate complex analytical findings into clear and compelling business insights for both technical and non-technical audiences
• Support project plans, agile initiatives, and analytical roadmaps while effectively managing priorities and timelines
• Research market trends and competitive intelligence to provide context for business performance and strategic planning
• Identify opportunities to improve reporting processes, automation, data quality, and analytical capabilities

Business Solutions Analyst, Data & Reporting

• Entender prioridades del negocio, traducir necesidades en productos analíticos, definir prioridades del backlog analítico, coordinar iniciativas con el Data Product Owner.
• Trabajar directamente con Growth, Loyalty BAU, Innovation, CRM, Revenue Management, Partnerships, Finanzas para desarrollar soluciones analíticas alineadas a los objetivos del negocio.
• Generar insights, formular hipótesis, identificar oportunidades, medir impacto económico, elaborar recomendaciones ejecutivas.
• Dashboards ejecutivos, scorecards, KPIs estratégicos.
• Definir KPIs, documentar reglas de negocio, validar consistencia funcional.

Business Data & Analytics Lead

• Realizar la homologación de productos y sucursales, relacionando datos de sellout con el catálogo corporativo y validando la información junto a los KAMs (operación semanal).
• Mantener y actualizar el catálogo de sucursales, recopilando información para nuevos registros y validando completitud y unicidad de los datos (operación semanal).
• Ejecutar altas y actualizaciones de sucursales directamente en la base de datos después de las validaciones de calidad.
• Generar y dar mantenimiento a reportes automatizados de seguimiento de homologaciones (semanal).
• Elaborar y mantener documentación de los procesos y aplicativos utilizados en las homologaciones.
• Validar la calidad y consistencia de los datos antes de cualquier incorporación al catálogo.

Junior Advanced Data Governance Analyst

• Design, develop, and maintain global dashboards and visualization solutions using tools such as Power BI to deliver actionable business insights.
• Connect and integrate data from enterprise platforms and multiple business systems to enable automated reporting and analysis.
• Validate, cleanse, and harmonize data from different regions to ensure consistency and accuracy in global reporting.
• Support the implementation of reporting standards, governance practices, and data quality requirements across the organization.
• Leverage Microsoft technologies including Power Automate and Power Apps to improve efficiency and digital ways of working.
• Own and continuously enhance reports within the Global Digital Operations environment, improving performance, refresh rates, and user experience.
• Develop and optimize data pipelines and data engineering solutions to support scalable analytics capabilities.
• Partner with IT teams and business stakeholders to integrate data from systems such as SAP, BY, Aspen, and other enterprise platforms.
• Lead local analytics initiatives that support manufacturing, quality, procurement, engineering, and operational excellence objectives.
• Provide training, user support, workshops, and User Acceptance Testing (UAT) activities to encourage adoption of reporting solutions.

Senior Data Analyst, Digital Manufacturing

• Own the end-to-end delivery of complex analytical initiatives from business question framing to execution and stakeholder follow-through
• Support ad-hoc analysis, providing interpretive framing and actionable recommendations
• Operate as a trusted analytics advisor, translating complex findings into decision-relevant narratives
• Design and support A/B tests and communicate results
• Act as the team's primary Google Analytics expert
• Design, build, and maintain high-performing Explores and dashboards in Looker
• Ensure metric definitions are canonical and consistent in the semantic layer
• Own data quality and collaborate with Data Engineers to resolve issues
• Mentor Junior Data Analysts and build reusable assets to enhance team efficiency

• Garantizar la continuidad del negocio asegurando que todas las acciones estén alineadas con los objetivos estratégicos de la organización.
• Supervisar el alta y mantenimiento de datos de clientes, contrapartidas, emisiones y emisores.
• Realizar la correcta parametrización de clientes de BBVA S.A. y de otras entidades del grupo (branches o subsidiarias), en función de los acuerdos establecidos en los SLA correspondientes.
• Gestionar el alta y mantenimiento de emisores y emisiones, así como de clientes y contrapartidas, incluyendo las instrucciones de liquidación.
• Actuar como punto de referencia para el equipo en las tareas analíticas y operativas de mayor complejidad.
• Apoyar en la facilitación de información relacionada con datos operativos y participar como stakeholder en procesos que impacten las bases de datos institucionales.

Client Onboarding and Cross Data Analyst

• Develop insights from trends and research in our seller data
• Work with our seller product teams to ensure launches are impactful and the seller experience is being improved
• Build foundational scripts using SQL and database skills
• Craft outstanding dashboards and visualizations using Looker
• Participate in dialogues with external vendors and collaborators, including technical developers
• Connect with partners on timelines, priorities, and expectations for proposals
• Continually evaluate and refine your technical toolkit; share what you learn with the team
• Possess a deep level of curiosity and appetite for learning, which drives you to finding outstanding solutions

Senior Data Scientist, Seller Analytics

• Extract, transform, and analyze fleet‑scale manufacturing, testing, deployment, and operational data using advanced SQL (DML).
• Understand and translate manufacturing, quality, and reliability concepts into measurable, data‑driven solutions and KPIs.
• Perform statistical analysis on manufacturing test data to ensure data integrity, reliability, and readiness for automation and root‑cause analysis.
• Continuously provide feedback upstream to improve data quality, coverage, and performance.
• Identify and implement opportunities to automate manual workflows using AI and advanced analytics.
• Develop AI‑driven recommendation systems for data standards, anomaly detection, intelligent data mapping, and quality insights.
• Support the integration of AI and ML services (e.g., Vertex AI, LLMs) into analytics workflows and intelligent applications.
• Partner with engineers and product teams to embed AI capabilities into hardware NPI and manufacturing processes.
• Design, develop, and maintain interactive dashboards and reports using Looker Studio, Tableau, Power BI, or equivalent tools.
• Visualize manufacturing performance, data quality scores, operational metrics, headcount status, and organizational spending.
• Prepare executive‑level summaries and presentations that distill complex technical data into clear, actionable insights.
• Interact professionally with engineers, product owners, suppliers, and subject‑matter experts across manufacturing, quality, IT, and operations.
• Provide technical guidance to suppliers and engineering teams on optimal data collection, standards, and data warehousing solutions.
• Support multiple parallel initiatives by tracking progress, identifying risks, and escalating delivery impediments when needed.
• Facilitate change management through documentation, communication plans, and process training.

• Liderar la estrategia de analítica de adquisición de tarjetas de crédito, maximizando el volumen y la calidad de nuevos clientes del portafolio.
• Diseñar e implementar políticas y criterios de adquisición que optimicen el balance entre crecimiento del portafolio y control del riesgo en la originación.
• Colaborar con Producto, Finanzas y Tecnología para asegurar que la estrategia de adquisición esté alineada con los objetivos de crecimiento y rentabilidad de Konfío.
• Traducir insights analíticos en decisiones de negocio concretas que impacten directamente el crecimiento rentable del portafolio.
• Desarrollar y liderar al equipo de analistas, brindando mentoría, feedback constante y acompañamiento en su crecimiento profesional.

Cards Acquisition Analytics Senior Manager

• Apoyar en la investigación y documentación de las necesidades de datos del negocio, bajo la guía de un perfil Senior/Lead.
• Participar en entrevistas y sesiones de observación.
• Llenar y mantener actualizada la Matriz de Assessment/Matriz de Trazabilidad de datos.
• Apoyar en la interpretación y presentación de resultados (bajo supervisión).
• Construcción de consultas SQL básicas-intermedias como insumo para los equipos de desarrollo.
• Colaborar en la validación de que las soluciones reflejen los objetivos del negocio (identificación de inconsistencias, no necesariamente propuesta de optimización).
• Redactar borradores de requisitos y documentos de flujo de trabajo.
• Apoyar en la adopción de soluciones de datos mediante la verificación de consistencia de datos.
• Ejecutar pruebas de validación de información bajo criterios definidos.
• Apoyar en la evaluación de calidad de datos (ejecución de checks, no diseño de framework).
• Apoyar en el diseño de modelos de datos lógicos/BI.

• Analyze data integrity and data quality issues across source systems, primarily finance data.
• Use SQL and other data analysis tools to extract, validate, reconcile, and analyze large datasets.
• Design, build, and maintain inline data monitoring processes and data controls to proactively identify data quality risks.
• Support data controls, data audits, governance activities, and data correction processes to improve overall data quality and integrity.
• Partner closely with platform engineering teams to investigate data issues and support automated controls across business-critical systems.
• Evaluate the impact of system, process, or transformation changes on data flow, data quality, and data integrity.
• Collaborate with business stakeholders to understand data issues, document requirements, and translate business needs into data quality solutions.
• Identify process inefficiencies and recommend scalable improvements to data quality processes and controls.
• Provide technical guidance, mentoring, or leadership to junior data quality analysts or team members.

Senior Data Quality Analyst

• Architect for RAG: You’ll design and scale the pipelines for Retrieval-Augmented Generation (RAG), transforming massive volumes of unstructured IT logs and documentation into optimized Vector Embeddings.
• Scale vector infrastructure: You will be responsible for the health and performance of our vector databases (e.g., Pinecone, Milvus, or Weaviate), ensuring sub-second retrieval speeds for agentic reasoning loops.
• Engineer semantic layers: Move beyond simple ETL to build knowledge graphs and semantic layers that provide agents with the necessary context to navigate complex infrastructure puzzles.
• Automate data excellence: Using a keen eye for detail, you’ll build automated data guardrails to detect noise, bias, or PII (Personally Identifiable Information) before it reaches the model, ensuring our AI remains safe and impactful.
• Solve meaningful challenges: Serve as the bridge between raw, messy data sources and deep technical AI work, identifying and resolving quality issues at the source.
• Progress to production: With a well-defined methodology and software engineering prowess, you will build, deploy, and maintain the CI/CD pipelines for our data infrastructure, ensuring that our context window remains fresh and reliable.

Data & Platform Analyst – Real Estate Portfolio

• Design and deliver in-depth financial benchmarking analyses
• Conduct data and industry presentations for managing partners, C-level executives, and firm leaders
• Identify business development opportunities through interactions and relationship building
• Collaborate with sales and implementation teams for timely service delivery
• Validate data to ensure consistent reporting of defined business metrics
• Develop content driven by insights derived from data analysis and research
• Project manage the final production of content with stakeholders
• Establish yourself as a subject matter expert by articulating industry data analysis
• Support new team members, contributing to onboarding and team growth
• Plan and participate in predictive analytics and automation projects

Industry Data Analyst

• Perform accurate and timely product data entry across required systems, following established standards and workflows
• Conduct routine data quality checks, audits, and basic analysis to identify discrepancies or opportunities for improvement
• Maintain product hierarchies and category structures to support reporting and analytics needs
• Document and update product data definitions, rules, and standard operating procedures
• Partner with stakeholders to clarify data requirements and ensure consistent interpretation of standards
• Support enforcement of governance policies, including taxonomy, naming conventions, and attribute standards
• Monitor incoming product data requests and resolve issues using established escalation paths
• Participate in continuous improvement initiatives related to data quality, processes, and governance tools
• Provide guidance or basic training to stakeholders on product data processes and best practices

Data Informatics Analyst

• Partner with data scientists, business owners, and database developers to formulate business problems, design analytical models, and deploy data-driven solutions.
• Build, validate, and optimize predictive and statistical models to uncover trends, conduct A/B testing, and enable precise audience segmentation.
• Create and publish automated reports, metrics, and visual dashboards using industry-standard tools (such as Power BI and Looker) to provide actionable insights to stakeholders.
• Proactively identify, troubleshoot, and resolve data anomalies or quality issues by collaborating with technical and business platform owners.
• Continuously evaluate data collection methods, reporting workflows, and delivery systems to improve efficiency, accuracy, and overall business value.
• Synthesize sophisticated datasets and analytical findings into clear, compelling presentations and strategic recommendations for non-technical leadership.

Data Scientist / Analytics Analyst

• Lanzamiento de Dominio de Aplicación del Vehículo
• Revisar y correlacionar los Números de Parte para crear y liberar los paquetes de lanzamiento (Icepacks).
• Escalar/informar cualquier obstáculo identificado y dar seguimiento hasta obtener una resolución.
• Responsable de revisar los archivos de software subidos, asegurándose de que correspondan con la liberación apropiada y sigan la estrategia de numeración de partes.
• Responsable de la calidad de la información proporcionada en el Proyecto Jira que rastrea los lanzamientos de software.
• Crear las Versiones de Instancia de Dominio y las Aplicaciones Correspondientes para la liberación de software de su ECU asignada.
• Responsable de seguir las prioridades del plan de entrega de software.
• Crear paquetes de lanzamiento (Icepacks) y liberarlos, asegurando que todas las dependencias apropiadas estén en su lugar para todas las ECUs asignadas.
• Asegurar que todo el software de ECU cargado haya obtenido la aprobación.
• Dar seguimiento a las líneas de software para obtener las aprobaciones requeridas utilizadas para las liberaciones.

Senior Quality Data Analyst

• Build and maintain dashboards, reports, and ad hoc analyses in Tableau and Snowflake to drive data-driven decisions.
• Lead hypothesis testing, A/B testing, regression analysis, and forecasting to inform product and marketing strategy.
• Develop SQL/Python automation and workflow tools (Airflow, dbt) to monitor data quality and alert stakeholders in real time.
• Drive insights on customer acquisition, retention, and user experience within a subscription-based model.
• Partner with Engineering, Marketing, and Product to align business needs with data initiatives and drive execution.
• Translate complex data into compelling narratives with actionable recommendations for stakeholders at all levels.

Senior Data Analyst – Contract

• Analyze business processes and data flows to enable end-to-end data connectivity and insight generation
• Identify and implement opportunities to transition from manual data handling to automated, intelligence-driven workflows
• Contribute to building AI-ready data foundations by ensuring data is structured, governed, and accessible
• Translate business problems into data requirements that support reporting and dashboards, predictive analytics, AI/ML initiatives
• Partner with engineering and architecture teams to design and deliver scalable data pipelines, models, and solutions

Business & AI Data Analyst III

• Administrar y mantener bases de datos para garantizar la calidad y disponibilidad de la información.
• Procesar y analizar datos para la elaboración de dashboards e indicadores de desempeño.
• Diseñar y automatizar tableros de control para el seguimiento de resultados.
• Generar reportes semanales y mensuales para diferentes áreas de la organización.
• Analizar tendencias, desviaciones y oportunidades de mejora dentro de la operación.
• Gestionar la calidad de los procesos internos mediante la elaboración de formatos, documentación y control de archivos.
• Brindar soporte en auditorías internas y seguimiento a acciones correctivas y preventivas.
• Analizar información relacionada con la logística y productividad del personal de campo.
• Integrar y analizar información de gastos y recursos para la elaboración de reportes ejecutivos dirigidos al cliente.
• Proponer mejoras en procesos basadas en el análisis de datos e indicadores.

Data Analyst jobs in Mexico

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FBS Data Analyst

Business Solutions Analyst, Data & Reporting

Business Data & Analytics Lead

Junior Advanced Data Governance Analyst

Senior Data Analyst, Digital Manufacturing

Data Analyst

Client Onboarding and Cross Data Analyst

Senior Data Scientist, Seller Analytics

Data Analyst

Cards Acquisition Analytics Senior Manager

Data Analyst

Senior Data Quality Analyst

Data & Platform Analyst – Real Estate Portfolio

Industry Data Analyst

Data Informatics Analyst

Data Scientist / Analytics Analyst

Senior Quality Data Analyst

Senior Data Analyst – Contract

Business & AI Data Analyst III

Data Analyst