Data Analyst

• Conduct thorough data analyses to support business and digital product growth
• Generate actionable insights through data visualization
• Support data-driven decision-making across teams
• Analyze data types, relationships, patterns, and trends
• Improve understanding of business data and inform strategic decisions
• Work closely with stakeholders to define clear, specific, and achievable data requirements
• Define how analytical outputs should be presented and consumed
• Develop a strong understanding of business workflows
• Identify relevant sources, entities, and attributes to answer business questions
• Validate analytical products with users
• Ensure solutions meet business needs and expectations
• Monitor and analyze product performance using KPIs and metrics
• Measure the effectiveness of data initiatives and investments
• Drive continuous improvement through data-driven insights
• Understand the technical architecture supporting data initiatives
• Work with data storage, integrations, and analytics platforms
• Collaborate effectively with technical teams
• Support the integration of AI tools and methodologies into analytical workflows
• Partner with Data Scientists, Data Engineers, Analytics Specialists, Product Teams, and Business Stakeholders
• Contribute to the delivery of high-quality analytical solutions
• Mentor and support junior analysts, fostering growth and development

Senior Data Analyst

• We are seeking a Data Analyst to join our Technical Services team.
• This is a unique opportunity for an entrepreneurial, highly driven person with a well-rounded skill set to join the Development team, whose responsibilities extend beyond those of traditional analysis and development.
• The ideal person for this role will need to not only have a strong grasp of Power BI but also be flexible and a strategic thinker able to take on a variety of tasks.
• This Data Analyst will be responsible for preparing data for analytical or operational uses; building data pipelines to pull together information from different source systems; integrating, consolidating, and cleansing data, and then creating visualizations, dashboards, reports, and content for employees and clients.
• Requirements Gathering – Work directly with our business partners to identify, understand, and translate key metrics into high-quality analytics solutions designed to enhance and improve critical business processes.
• Visualization Design – Ability to turn those requirements into impactful dashboards aimed at displaying large amounts of data in a way to drive better, more informed decisions for the firm.
• Dashboard Development (Power BI) – Utilize your skills and knowledge to compile your visualizations into best-in-class analytics dashboards primarily using Microsoft Power BI.
• Innovation – Champion the introduction of new practices for integration, maintenance, testing, deployment, reporting & analytics.
• Governance – Work with subject matter experts to build solutions using approved calculations and data elements, emphasizing proper data governance.
• Risk & Compliance – Ensure that all BI solutions are designed and built to comply with, and always adhere to data privacy and other risk & compliance policies, procedures, and controls.

• Apoyar en la preparación, limpieza y validación de bases de datos para análisis de mercado
• Colaborar en cálculos básicos de mercado y análisis a nivel regional/estatal
• Contribuir en la elaboración de presentaciones claras y estructuradas para stakeholders internos
• Dar soporte en el seguimiento de contratos con proveedores (fechas clave, renovaciones, estatus)
• Apoyar en la creación y seguimiento de órdenes de compra (POs)
• Dar seguimiento a procesos de facturación y pagos con supervisión del equipo
• Mantener bases de datos y trackers actualizados (contratos, proveedores, pagos)
• Participar en la identificación de oportunidades de mejora en procesos
• Colaborar con distintos equipos, desarrollando habilidades de comunicación y trabajo en equipo

Data Analytics Intern

• Own the Quality Layer: Design and operationalize data visualization systems across our global commercial pipelines.
• Build scalable business intelligence: Design, develop, and optimize strategic dashboards that transform large volumes of data into clear and actionable insights for decision-making.
• Turn complex metrics into intuitive visualizations that enable the identification of risks, opportunities, and operational performance in real time.
• Orchestrate the end-to-end data flow: Develop and maintain transformation, modeling, and automation processes using tools such as BigQuery, LookML, and Dataform.
• Ensure data traceability, consistency, and availability from the source to the final visualization.
• Collaborate to maximize impact: Partner closely with Engineering, Analytics, Product, and Business teams to build robust analytical solutions aligned with strategic priorities and focused on delivering measurable value.

• Gather, clean, and analyze data from a range of business functional teams
• Develop and maintain dashboards and reports to communicate insights effectively
• Translate data findings into actionable business strategies
• Partner with cross-functional teams on special projects
• Identify trends, patterns, and areas for optimization within data processes
• Ensure data accuracy and integrity through regular analysis and validation

Data Analyst, Tools & Outdoor Finance Analytics

• Build and maintain high-impact dashboards and visualizations focusing on advertising campaign performance, audience delivery, and inventory measurement.
• Support a proactive analytics program by providing in-flight pacing insights, optimization strategies, and comprehensive post-campaign wrap reports.
• Analyze multi-faceted datasets including audience composition, reach and frequency, geography, and venue-specific performance.
• Integrate internal data with third-party measurement sources such as Nielsen, NMI, MRI-Simmons, and iSpot.
• Translate technical campaign data into concise, client-ready value propositions for executive leadership and sales teams.
• Automate recurring analytical workflows and reporting requests to enhance scalability and data quality control.
• Utilize GenAI tools and custom prompts to accelerate insight generation, reporting narratives, and documentation.
• Partner with Engineering, Product, and Ad Operations to investigate data anomalies and improve overall data architecture.
• Conduct ad hoc strategic analysis to identify inventory opportunities, pricing support, and long-term client growth potential.

Senior Data Analyst – Travel Entertainment

• Design and execute advanced analyses on user digital behavior, campaign performance, and conversion funnels to identify patterns, opportunities, and risks.
• Generate actionable insights that answer strategic business questions and translate into concrete recommendations for Marketing, Product, and Commercial teams.
• Build data storytelling narratives that connect analytical findings to business decisions, tailoring the message to technical, managerial, and executive audiences.
• Define KPIs, measurement frameworks, and attribution models that holistically evaluate the performance of the digital ecosystem.
• Build and maintain robust data pipelines in BigQuery from sources such as GA4, CRM, media platforms, and transactional databases.
• Design efficient, optimized SQL queries on large-scale tables, including Google Analytics 4 export tables (events_*).
• Collaborate with Data Engineering teams on data modeling, quality, governance, and availability across GCP and AWS environments.
• Design and maintain executive dashboards in Looker Studio (or other BI tools) that deliver clear, timely, and actionable information to stakeholders.
• Present findings to C-level audiences, translating complex technical analyses into simple, actionable, business-oriented messages.
• Document methodologies, assumptions, and analytical limitations to ensure transparency and reproducibility.
• Act as a technical reference within the Analytics & Insights team, supporting junior analysts on best practices in SQL, Python, and modeling.
• Collaborate with regional teams across multiple markets, understanding local nuances and consolidating learnings at a regional level.
• Promote a data-driven culture, advocating for the responsible use of data and experimentation as a driver of decision-making.

Data Analytics & Insights Specialist

• Gestión y análisis de datos: Extraer, consultar y estructurar información de manera eficiente mediante SQL, asegurando calidad y disponibilidad de los datos.
• Visualización y automatización de reportes: Diseñar y mantener dashboards automatizados en Looker Studio para facilitar el análisis y la toma de decisiones estratégicas.
• Análisis de información: Interpretar grandes volúmenes de datos para identificar hallazgos, tendencias y oportunidades de mejora para el negocio.
• Resolución de incidencias: Detectar, analizar y solucionar de forma proactiva inconsistencias o anomalías en la información operativa.
• Adaptabilidad y aprendizaje continuo: Incorporar rápidamente nuevas herramientas, plataformas y procesos de acuerdo con las necesidades del área y del negocio.

• Apoyar la mejora continua y la madurez del marco de gestión de riesgos del Banco, metodologías y documentación
• Analizar la gravedad del riesgo, tendencias emergentes y efectividad de controles
• Desarrollar y mantener indicadores clave de riesgo (KRIs), paneles de control, tarjetas de puntaje y análisis de tendencias
• Liderar y apoyar evaluaciones de riesgo en toda la empresa
• Recomendar estrategias de mitigación de riesgos y mejoras de control
• Monitorear y analizar alertas, informes de excepciones e indicadores de riesgo
• Revisar planes de acción de auditoría e información de remediación
• Identificar oportunidades para mejorar la eficiencia y efectividad de los procesos de evaluación de riesgos y apoyo de auditoría.

• Construir y mantener dashboards, reportes y dataflows en DOMO
• Diseñar, gestionar y validar procesos ETL (extracción, transformación y validación de datos)
• Integrar datos provenientes de sistemas de gestión legal (CMS) y otras herramientas de negocio
• Participar en reuniones con clientes para levantamiento de requerimientos y presentación de insights
• Traducir flujos operativos y ciclos de vida de casos en estructuras claras de reporting
• Identificar tendencias, inconsistencias y oportunidades dentro de los datasets
• Asegurar la calidad, consistencia y confiabilidad de los datos
• Mantener documentación y brindar soporte continuo a los clientes

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