Data Analyst

• Take ownership of streaming data issues from initial investigation through resolution.
• Investigate incorrect catalogs, feeds, data anomalies, failed processes, and other streaming-related issues.
• Identify root causes by analysing data, system behaviour, logs, feeds, and technical workflows.
• Use Python to investigate, validate, manipulate, or troubleshoot data and technical processes.
• Resolve issues independently where possible or escalate them to Development or other technical teams with a clear diagnosis and supporting information.
• Work with structured data, APIs, logs, feeds, internal systems, and other technical sources.
• Use AI tools and effective prompting to support analysis, investigation, troubleshooting, and productivity.
• Communicate technical findings clearly to both technical and non-technical stakeholders.
• Communicate directly with clients regarding streaming-data issues, investigations, and resolutions.
• Collaborate with Development, Operations, and Streaming teams to improve workflows and prevent recurring issues.
• Manage multiple investigations and priorities while meeting deadlines and SLA requirements.
• Document findings, solutions, and recurring problems to improve team knowledge and processes.
• Continuously develop understanding of Simply.TV’s streaming products, data architecture, and technical workflows.
• Reports to the Head of Streaming.
• Full-time contractor; 40 hours per week.

Streaming Data Analyst

• Proporcionar seguimiento regular del estatus al Team Leader designado y al BO Team mediante reportes, estadísticas y evidencia de entregables.
• Proponer los reportes, estadísticas a rastrear y el formato de la evidencia de entregables.
• Incorporar modificaciones solicitadas por los Ford Team Leaders y el BO Team.
• Revisar previamente los entregables.
• Cumplir y presentar entregables completamente viables para Ford de acuerdo con el tiempo y los hitos.
• Desarrollar invention disclosures según sea requerido.
• Dar seguimiento a los métodos de control de versionamiento.
• Proporcionar un reporte resumen al BO Team al final de la Orden de Compra, incluyendo entregables, tiempos, logros y mejoras.

Quality Data Analyst – Mid

• Improve Omilia's Drive-Thru Voice AI, a production system taking orders across thousands of Quick Serve Restaurants
• Track system performance
• Perform analyses on production data
• Turn insights into fixes and enhancements to NLU models, conversation flows, and LLM behavior
• Write SQL queries
• Build reports and dashboards
• Track KPIs
• Run analyses and identify optimization opportunities
• Review real drive-thru dialogs
• Identify error patterns and propose actionable improvements for accuracy and user experience
• Implement and thoroughly test semantic models and conversation flows using machine learning, rule-based techniques, and LLMs

Data Analyst – Computational Linguist

• Collect and analyze site and patient enrollment actuals and forecasts with Central Planning and Clinical Operations teams
• Develop, maintain, and continuously improve forecasting models used outside of Medidata Payments
• Integrate forecasting data and processes with Medidata Payments forecasts
• Partner with Revenue Recognition teams to align forecasting with audit and financial reporting requirements
• Create accurate, client-ready forecast deliverables according to sponsor contractual requirements
• Analyze forecast performance through plan-versus-actual results and budget variances
• Communicate over-forecast and under-forecast risks to Project Analysts and Global Project Leads
• Support audit activities, change order processes, and study closeout reconciliations
• Prepare final forecasting and reconciliation reports for client delivery and project review

Grants Payments Data Analyst

• Own experimentation rigor across web funnels, SMS/drip, sales-driven tests, and SEO tests
• Design tests and make power, sample-size, significance, and readout-standard decisions
• Catch underpowered tests and false positives before they drive bad decisions
• Extend automated Growth metrics in Lightdash, Python-backed statistical-significance tooling, and Claude routines
• Build and maintain a trusted acquisition-to-conversion funnel across brands and paid, organic, and partner channels
• Provide CAC, LTV, and conversion-rate analyses for Growth investment prioritization
• Establish Year 1 standards and a playbook for scaling the Growth analytics function
• Recommend whether to buy or build the experimentation stack
• Partner directly with the Director of CRO, performance marketing, and Growth PMs
• Deliver analysis that drives quantified conversion lifts and push back when data contradicts popular ideas

Lead Data Analyst, Growth & Experimentation

• Provide operational support to Customer & Partner Success through data-driven reporting on customer health and product usage
• Create, analyze, fulfill, and distribute standardized, bespoke, contractual, and ad hoc customer usage reports
• Design, build, and maintain reports and dashboards tracking customer health, product adoption, feature usage, and engagement
• Partner with Customer Success, Sales Operations, Product Management, and Marketing to define and operationalize KPIs and health-score metrics
• Aggregate and analyze internal and external usage data to identify adoption trends, at-risk accounts, expansion opportunities, and whitespace
• Prepare customer-facing reporting packages such as QBR/EBR decks, usage summaries, and scorecards
• Maintain knowledge of platforms and services to ensure reporting reflects actual usage and configuration
• Own accuracy, documentation, and governance of customer and usage data in Salesforce and other internal systems
• Support bulk data uploads, data cleanup, and customer-record maintenance
• Triage inbound reporting and data requests from Customer Success, Sales, and Product teams
• Provide monthly updates on reporting goals, KPIs, and project status
• Attend industry events as needed
• Perform other assigned work-related duties

Customer Success Data Analyst

• Deliver insights and reports that support product prioritization, assessments, and business recommendations
• Perform marketplace analyses ranging from A/B tests to multivariate models on retention or ETA
• Use advanced SQL and intermediate Python or R for modeling and analysis
• Create and maintain trusted, organized, actionable reporting systems and dashboards
• Build clean, documented datasets in the data warehouse using dbt
• Resolve conflicting metrics and establish trusted definitions
• Enable stakeholder self-service through reports, datasets, documentation, and training
• Identify decisions changed by analysis and drive stakeholders to act on findings
• Collaborate with product managers, researchers, and business stakeholders, primarily on the Pro/supply side of the marketplace
• Nurture a data-driven culture across the company

Lead Product Data Analyst

• Deliver insights and reports that influence product prioritization, assessments, and business recommendations
• Partner with product managers, researchers, and business stakeholders
• Model and analyze marketplace data, including A/B tests and multivariate models
• Identify gaps, insights, optimizations, and drivers of key metrics
• Create and maintain trusted, organized, actionable reporting systems and dashboards
• Develop clean, documented datasets and models in the data warehouse using dbt
• Define, document, and standardize metrics across teams
• Enable stakeholder self-service through reports, datasets, documentation, and training
• Nurture a data-driven culture across the company
• Work primarily on the Pro/supply side of the marketplace

• Analizar, comprender y optimizar end-to-end los procesos de la cartera crediticia minorista (TDC, consumo, auto e hipotecario)
• Gestionar, manipular y transformar datos de plataformas Legacy y nuevas herramientas mediante procesos ETL con Python, PySpark, SAS Guide y SQL
• Desarrollar y automatizar reportes e indicadores clave de cobranza y desempeño (KPI)
• Estructurar y analizar bases de datos para generar insights sobre comportamiento de clientes y eficiencia de estrategias
• Ejecutar procesos clave mensuales, como el “día cero”, aplicando pruebas de calidad y validando la consistencia de las bases
• Aplicar normatividad IFRS 9 en reservas, pérdidas esperadas (PE), exposición (EAD), riesgo de crédito y riesgo operativo
• Colaborar con equipos multidisciplinarios de Riesgos, Finanzas y Planeación
• Elaborar presentaciones ejecutivas con hallazgos y propuestas
• Gestionar grandes volúmenes de información en entornos Big Data bajo presión de tiempos y picos de carga operativa mensual
• Traducir análisis complejos en recomendaciones claras y accionables

Analista de Datos – Riesgo Crédito

• Ensure the integrity, accuracy, and reliability of supply chain data
• Drive AI and automation initiatives that streamline day-to-day operations
• Partner across supply chain teams to gather requirements and identify process gaps
• Design scalable, automated data quality solutions
• Establish, monitor, and enforce data quality standards, rules, and governance
• Identify, investigate, and monitor data discrepancies, anomalies, and root causes
• Develop and maintain data quality dashboards, scorecards, and KPIs
• Identify manual, repetitive, and error-prone processes for automation
• Build, test, and deploy automated workflows using tools such as RPA, Power Automate, Python, SQL scripts, and ETL pipelines
• Evaluate emerging tools and technologies to improve automation and analytics
• Engage cross-functional teams on projects and critical initiatives
• Partner with stakeholders to prioritize initiatives, align outcomes, and communicate progress and impact

Data Analyst jobs in Mexico

Streaming Data Analyst

Quality Data Analyst – Mid

Data Analyst – Computational Linguist

Grants Payments Data Analyst

Lead Data Analyst, Growth & Experimentation

Customer Success Data Analyst

Lead Product Data Analyst

Lead Product Data Analyst

Analista de Datos – Riesgo Crédito

Senior Analyst, Data Quality & Automation