Data Analyst

• Lead the development of Omnichannel Analytics tools among LAM through the design, build, test, and maintenance of ETL/ELT pipelines using PySpark, SQL, and Python within the Databricks ecosystem
• Ensures its accuracy through quality assurance processes
• Applies a variety of visualization techniques and designs the content and appearance of data visuals
• Operationalizes and automates activities for efficient and timely production of them
• Designs and develops Power BI dashboards and reports aligned to DNA standards
• Monitors omnichannel-product-channel performance
• Connects it to consumer lifecycle data, to elevate our buyer behavior understanding
• Delivers actionable recommendations, a strong storytelling behind data and clear calls to action

Manager, Omnichannel Analytics

• Apoyar la implementación técnica de la estrategia institucional de datos.
• Monitoreo, Evaluación y Aprendizaje (MEL) e Inteligencia Artificial de Fundación Capital.
• Integración, procesamiento, análisis y visualización de datos.
• Desarrollo de soluciones analíticas y casos de uso de IA que fortalezcan la medición de resultados, el aprendizaje institucional y la toma de decisiones.

Data Analyst, AI

• Transformar el comportamiento digital de los usuarios en insights accionables.
• Ejecutar el plan de medición digital diseñado por el área.
• Colaborar en la configuración y validación de etiquetas en Google Tag Manager (GTM).
• Apoyar en la implementación y medición avanzada en GA4.
• Generar y actualizar reportes y dashboards en Looker Studio o Power BI.
• Identificar insights a partir de datos y proponer recomendaciones accionables.

Digital Analytics Analyst

• Implements day-to-day quality operations and supports automation initiatives
• Engages partners across different organizations
• Performs data profiling, cleansing, validation, and reconciliation activities
• Identifies and resolves data discrepancies and root causes
• Maintains data quality dashboards, scorecards, and KPIs
• Partners with different functions to drive corrective actions
• Maintains standard operating procedures, data standards, and knowledge-base content

Experienced Analyst, Data Quality

• Document current payroll processes, workflows, handoffs, controls and dependencies across countries or initiatives.
• Create and maintain clear process maps, standard operating procedures, workflow documentation and operational playbooks.
• Support payroll transformation initiatives by assessing readiness, identifying risks, documenting impacts and tracking key actions.
• Gather and validate inputs from stakeholders across Payroll, HR Operations, Finance, Technology, Legal, Procurement and external providers.
• Support business change activities, including vendor transitions, platform changes, service delivery improvements and M&A-related payroll workstreams.
• Identify manual workarounds, process gaps and automation opportunities for further review by technology or transformation teams.
• Coordinate governance activities such as readiness checkpoints, issue logs, decision records and action trackers.
• Share documentation standards, process insights and best practices to support consistent ways of working.

Advanced Specialist, Business Analytics

• Analizar y solucionar incidentes y problemas relacionados con datos
• Investigar discrepancias de datos y determinar causas raíz
• Documentar, comunicar y proporcionar análisis de problemas de calidad de datos
• Crear y ejecutar consultas SQL para validación y verificación de datos
• Revisar el código de la aplicación e identificar soluciones técnicas o alternativas cuando sea necesario
• Monitorear tendencias de datos y comunicar hallazgos y recomendaciones de manera efectiva
• Colaborar con equipos multifuncionales para apoyar las operaciones de producción y solicitudes de cambio
• Aplicar mejores prácticas de soporte operativo, incluidos procesos basados en ITIL.

Support Data Analyst

• Design, build, and maintain curated, reusable datasets and data products for the global HCC data ecosystem, including transparency reporting.
• Design and implement data quality controls within data products to improve completeness, accuracy, consistency, and timeliness.
• Proactively identify root causes of data quality issues and partner with process and system owners to prevent recurring defects.
• Contribute to the data product lifecycle, including intake, design, delivery, maintenance, issue management, and continuous improvement.
• Structure data for analytics, audit, compliance monitoring, reporting, and business consumption.
• Support ad hoc data requests, rapid insights, PoCs, and pilots by providing fit-for-purpose data assets and practical guidance.
• Participate in a Data Concierge model to triage incoming data requests, provide rapid insights, or route needs into structured data product development.
• Partner with analytics, strategic enablement, technology, regional HCC, and reporting teams to co-develop data products and respond to changing business, compliance, and regulatory needs.
• Enable business users through structured, reusable data assets, clear documentation, and practical guidance on appropriate data use.
• Support data catalogue development and data discoverability by maintaining metadata, definitions, lineage, and usage documentation.
• Ensure data products align with data governance standards, privacy expectations, access controls, and approved ways of working.
• Identify data process gaps, risks, and improvement opportunities across the HCC data ecosystem.

Lead Analyst – Data Products, Integrity

• Generar, consolidar y asegurar la calidad de los informes transaccionales asociados a los diferentes canales del banco.
• Garantizar la consistencia, integridad y oportunidad de la información para el seguimiento operativo y la toma de decisiones.
• Apoyar el análisis del comportamiento transaccional mediante la identificación de tendencias, variaciones relevantes, patrones de uso y posibles anomalías.
• Contribuir al monitoreo y validación de los datos, así como a la detección, gestión y seguimiento de incidencias de calidad con las áreas responsables.
• Procesar, transformar y visualizar información proveniente de diversas fuentes de datos.

Data Specialist Analyst I – CRM

• 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.

Analytics & Insights Specialist

• Extract, query, and manipulate data using SQL from relational databases and cloud data warehouses.
• Analyze large transactional and consumer datasets to identify trends, patterns, and business insights.
• Build and maintain structured datasets that support recurring reports and business analyses.
• Calculate key business metrics such as household penetration, market share, purchasing behavior, and category trends.
• Work with raw and semi-structured data, cleaning and categorizing information as needed.
• Validate data outputs and perform quality checks to ensure data accuracy and integrity.
• Collaborate with internal teams to support reporting needs and answer business questions through data.
• Translate complex datasets into clear findings and recommendations.

• 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 Analyst jobs in Colombia

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Manager, Omnichannel Analytics

Data Analyst, AI

Digital Analytics Analyst

Experienced Analyst, Data Quality

Advanced Specialist, Business Analytics

Support Data Analyst

Lead Analyst – Data Products, Integrity

Data Specialist Analyst I – CRM

Analytics & Insights Specialist

Data Analyst

Senior Data Analyst

Data Analyst

Data Analytics Intern