Data Analyst

• 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.

• Create data visualizations
• Troubleshoot and test database technical issues with development team
• Create monthly Excel and Google Sheets files from database
• Independently analyze data sets to identify opportunities for increased accuracy and efficiency
• Perform quality assurance on data to determine potential data gaps
• Handle data-related technical issues and support data infrastructure needs
• Assemble large, complex data sets that meet functional / non-functional business
• Work with data and analytics experts to strive for greater functionality in our data systems. Other duties as required.

Data Analyst III

• Generar y dar seguimiento a los tableros de desempeño de la red y áreas staff según las reglas de incentivos definidas
• Generar el cálculo de Ganamás y comisiones, asegurando que el cálculo sea confiable y preciso
• Análisis de información estadística y financiera sobre el comportamiento de los productos para reportes de seguimiento
• Generar e implementar reglas de calidad mediante procesos automáticos para asegurar el DQ de la información
• Comunicación activa y efectiva con los controllers, áreas staff de la red y fuerza de venta

Analista de Datos Financieros, Incentivación

• Responsible of data mining to provide visible solutions to customers, including layouts, PBI reports, statistical analysis, graphs and tables.
• Understanding of customer’s request to translate it to visual and functional reports.
• Team work to promote initiatives related to improve service KPI’s and spare parts sales.
• Identify projects requirements to translate them to a project timing and milestones.
• Prioritize projects according impact vs effort.
• Continuous improvement to generated visors.
• Documentation of processes and storage according GM policies.
• Support to district managers with data understanding and how it was calculated.
• Support dealer’s network to questions about KPIs reports and calculation.
• Self-development supported by collaboration with other areas and councils.
• Determine best scenarios based on profit & loss, and statistical data as mean and median.
• Lead discussions and reach agreements with internal and external stake holders.
• Candidate must be collaborative team player who will work closely with diverse of people, and functions.
• Experience in data mining and management of data basis.
• Programming in DAX, SQL, Pyton, R.
• Capability to analyze business results to identify opportunities: budget, trends, statistical data.
• Apply financial analysis tools and work experiences to influence current and future profitability (e.g. financial models, business cases, run rate, advanced data analytics)
• Prepare reporting package with insight for monthly operating review and/or Key Performance Indicators (KPI’s), anticipating logical questions based on content.
• Ability to prioritize multiple tasks and projects at once without sacrificing quality.
• Works under general supervision with limited guidance and direction.
• Determines an appropriate course of action within broad guidelines and can handle nearly every standard or typical request independently.
• Identify and corrects non-routine problems in existing systems and processes through independent judgment.
• Applies learned techniques to drive the solution to a problem.
• Adapts communication style to reach agreement in own area in situations of moderate complexity.
• Demonstrates flexibility and adaptation.
• Propose new initiatives and delivers solutions, driving cross team efforts.
• Recommends opportunities for process improvement to leadership & proactively anticipates needs within own area.
• Dealing with ambiguity to define feasible actions and priority.
• Participation in the data analytics council for sharing best practices and lessons learned associated to the function.
• At the same time, being receptive to incorporate practices or technics presented by other DA groups.
• Proactively seeks personal and group growth opportunities, identifying training.

Data Analysis Engineer

• Design, implement, and continuously refine marketing attribution models across all channels, ensuring they reflect the true complexity of the customer journey.
• Develop a framework to identify and account for second-order effects initiatives whose impact on brand awareness, funnel priming, or downstream conversion isn't directly attributable but is strategically significant.
• Define incrementality measurement approaches (geo holdouts, intent-to-treat analyses, synthetic controls) to evaluate the true causal impact of marketing investments beyond last-touch or even multi-touch models.
• Own attribution methodology decisions and communicate trade-offs clearly to stakeholders and leadership.
• Lead the implementation and maintenance of tracking infrastructure: pixel setup, tag management (Google Tag Manager or equivalent), and event tracking across web and app.
• Design and implement server-to-server (S2S) integrations to improve signal quality, reduce data loss from browser restrictions, and enhance campaign optimization inputs for paid media platforms.
• Audit and troubleshoot data discrepancies across tracking systems, ensuring data accuracy and integrity end-to-end.
• Manage and evolve the marketing analytics stack (GA4, Amplitude, third-party attribution tools, Databricks) and stay current on emerging measurement technologies and privacy-driven changes.
• Partner with Data Engineering and Product to improve event schemas, tracking coverage, and data pipeline reliability.
• Pull, structure, and analyze your own data independently building the analyses needed to reach conclusions and push initiatives forward, without relying on others to surface information.
• Develop and maintain dashboards and reports that give clear, actionable visibility into campaign performance, channel ROI, and attribution trends.
• Identify patterns and anomalies proactively; bring forward recommendations with a clear point of view, not just observations.
• Use advanced analytics to correlate marketing activities with business outcomes, providing the strategic inputs needed for budget allocation and channel mix decisions.
• Collaborate with Performance and Lifecycle marketing teams to translate attribution insights into concrete campaign optimizations.
• Conduct A/B and multivariate experiments to validate attribution assumptions and improve measurement accuracy over time.
• Help forecast marketing budgets based on attribution data and provide a clear framework for where to allocate spend for maximum ROI.
• Act as the internal expert on attribution and measurement educating teams on best practices and building shared understanding across marketing, data, and finance.

Paid Analytics Manager

• Analyse client needs, implement software solutions, and provide training and support
• Responsible for installation, configuration, administration, development, and support of SAP products
• Coach, motivate, develop and inspire team members
• Take ownership of projects, ensuring successful planning and execution
• Collaborate with team leadership to ensure ownership of quality, timelines, and deliverables
• Engage in difficult conversations with clients and stakeholders

SAP EAM Data Analyst – Manager

• 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, Mexico

• Lead complex data transformation initiatives, improving data quality, performance, and scalability, Identifying gaps, risks, and opportunities in the analytics stack and drive improvements.
• Champion analytics best practices, data visualization standards, and innovative measurement methodologies. Furthering the advancement of Ai use and adoption, automation across analytics, and partnering with Internal Teams for best practice and streamlining where applicable.
• Support advanced analytics use cases such as experimentation, attribution, and forecasting.
• Enable self-service analytics by delivering well-modelled, well-documented datasets.
• Trusted advisor to Planning, Activation, Analytics leadership and external stakeholders to define KPIs, measurement frameworks, and data strategies.
• Strong English language and presentation skills, the Senior Data Analyst will proactively lead analytics client calls. Can diagnose problems, understand the challenge, and set clear objectives, KPIs, and provide recommendations to meet requirements.
• Serve as a technical leader and point of escalation within the Analytics Team, mentoring and advising other Analytics Team members.
• Confidently turn insights into strategy, and able to provide strategic counsel and recommendations to clients of all sizes including enterprise clients / large budget projects. Effectively taking a brief and delivering to deadline.

Senior Data Analyst

• Trabajar en proyectos de análisis estadístico y visualización de datos.
• Colaborar con equipos de negocio, tecnología y producto.
• Crear dashboards y reportes para facilitar la toma de decisiones.
• Comunicar hallazgos a stakeholders técnicos y no técnicos.

• Provide guidance and oversight of Analysts and Senior Analysts
• Tracking project status and timelines
• Project setup includes creating reports in Unify+ that define project parameters
• Working with client and internal team members to clarify any ambiguities and populating online forms to ensure proper application configuration
• Owning client data management for key client projects
• Organizing and tracking data files received, cleaning and reformatting data to meet input template requirements and loading files into online Liquid Mix platform
• QC data files prepared by Analysts
• Additional client support including leading client kickoff calls and product demonstrations
• Answering basic questions about input files or functionality on the Liquid Mix platform
• Submitting tickets for technical issues encountered by the client that are to be resolved by ATP.

Analytics Manager

• Applies moderately advanced mathematical, statistical, and quantitative techniques to solve medium-to-large scale business problems that significantly impact current and future business strategies.
• Builds descriptive or explanatory models or uses the output of models created by others.
• Analyzes larger datasets to identify trends, patterns, and business opportunities. Leverages interactive data visualization tools and statistical techniques such as distribution analysis, correlation analysis, outlier detection, multivariate analysis, time series, machine learning, and others to uncover hidden insights.
• Conducts thorough exploratory data analysis (EDA) to uncover opportunities including testing hypotheses and validating findings with business partners.
• Facilitates discussions with cross-functional business partners and teams to understand and collaborate on complex business objectives.
• Influences solution strategies and outcomes by leveraging expanded knowledge of the business.
• Collects data from a variety of sources and integrates and transforms disparate datasets to create cohesive datasets for analysis.
• Assesses data quality and applies data hygiene techniques to ensure accuracy and consistency.
• Supports data reliability by conducting quality checks, documenting data processes, and collaborating with more experienced analysts for peer review and data validation as needed.
• Assists deployment and monitoring of more complex predictive models into workflows.
• Translates technical data insights into communications and presentations for non-technical business partners and leadership to ensure data-driven insights and recommended action plans are easily understandable.
• Actively seeks feedback from more experienced team members and engages in professional development opportunities to enhance skills and contribute effectively to team objectives.

Data Analyst – Marketing

• Brindar atención oportuna y eficaz al usuario estableciendo en todo momento la experiencia RCP
• Realizar análisis de solución a solicitudes de entrega de información por parte de la autoridad y áreas diversas
• Atención a usuarios y apoyo a solicitudes áreas diversas

Financial Data Analyst

• Lead client-facing discovery sessions in English with US-based operators
• Translate ambiguous business problems into structured analytical work
• Write production-quality SQL against Snowflake, Databricks, BigQuery, or Redshift
• Build and maintain dashboards and reporting in Looker, Tableau, Power BI
• Mentor junior analysts on the engagement

Senior Business Data Analyst

• Ejecutar estrategias analíticas para transformar datos en información accionable.
• Detectar y priorizar oportunidades de explotación de datos que generen valor al negocio.
• Diseñar, desarrollar y mantener dashboards y reportes estratégicos.
• Colaborar con distintas áreas para entender necesidades y proponer soluciones analíticas.
• Aplicar herramientas estadísticas para identificar patrones y comportamientos clave.
• Monitorear indicadores y asegurar calidad de datos para análisis confiables.

Junior Data Analyst

• Lead complex data analysis projects across multiple business units, managing end-to-end workflow from requirements gathering to final recommendations
• Design and execute advanced SQL queries to extract, transform, and analyze large datasets from various sources while ensuring data quality and integrity
• Develop and maintain statistical models and dashboards to track KPIs, identify trends, and generate actionable insights for business stakeholders
• Collaborate with Product, Engineering, and Design teams to deliver data-driven solutions that align with business goals.
• Effectively communicate insights and analysis results to stakeholders across SimplePractice, highlighting opportunities to better serve both the business and its customers.
• Mentor junior analysts and collaborate with data engineering teams to improve data infrastructure and accessibility
• Drive strategic decision-making by conducting in-depth analyses of business metrics, market trends, and customer behavior patterns to identify opportunities for growth and optimization

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