About the opportunity 

At Teads, we believe marketing should be measurable, scalable, and built to drive real business impact. We’re a global team pushing the boundaries of digital advertising, combining creativity, technology, and data to shape the future of media.

We’re looking for a Senior Marketing Manager, Operations & Data Analytics (Maternity Leave Coverage for 9 months) to lead and evolve our global measurement ecosystem while ensuring our operations infrastructure runs smoothly and efficiently.

What will you do?

Reporting to the Global Head of Marketing Strategy & Operations, you will own the evolution of Teads’ global marketing measurement framework while maintaining and enhancing the operational backbone that enables it.

You’ll play a critical role in connecting activities to business outcomes, translating performance across brand, demand generation, product, ABM, and customer initiatives into a unified view of contribution to revenue and growth.

This role is ideal for someone who can both run complex operations and elevate measurement capabilities, making insights faster, clearer, and more actionable across the organization.

Marketing Measurement & Analytics

• Support the evolution of Teads’ global marketing measurement framework, connecting top-of-funnel activity to pipeline, revenue, and customer value - and partnering with tech teams’ to align and implement the infrastructure to make it possible
• SQL proficiency with hands-on experience querying and modeling data via dashboards on Looker Studio Pro / Looker. 
• Explore ways to fetch data into BigQuery, map requirements and partners (e.g: Rivery, Funnel IO, Coupler, Extract)  and guide discovery phase along with Data and Security
• Standardize KPIs’ definitions and create a shared measurement language across global marketingStandardize KPI definitions and drive alignment on a shared measurement language across the organization
• Improve attribution models and performance methodologies to better capture the impact of multi-touch, multi-channel programs

Reporting & Data Infrastructure

• Design, build and optimize scalable reporting systems and dashboards that serve as trusted sources of truth for marketing and GTM process
• Translate complex datasets into clear, decision-ready insights that influence investment, prioritization, and strategy
• Partner with Data, RevOps, and BI teams to strengthen data pipelines, tracking, and integration between marketing platforms and CRM
• Champion a culture of data-driven decision making across the marketing organization

Marketing Operations & Enablement

• Ensure the marketing operations ecosystem runs efficiently, enabling prioritization and continuity of marketing campaigns and projects
• Improve processes that accelerate reporting cycles and reduce friction, duplication and enable visibility on marketing activities across teams
• Identify operational gaps and implement scalable solutions that increase speed, accuracy, and visibility

What will you bring to the team?

• 5+ years of experience in marketing analytics, data analysis, marketing operations or a related field
• Strong expertise in BI tools (e.g., Looker) and working knowledge of SQL or advanced data environments. 
• Experience with marketing tech stacks, including CRMs (Salesforce, Hubspot), automation platforms, and work management tools like Monday.com
• Deep understanding of attribution, data integrity, governance, and ROI measurement
• Proven ability to improve tracking frameworks, reporting reliability, and turn insights into action
• Strong cross-functional collaborator, able to align global teams around shared metrics
• Highly autonomous, proactive, and comfortable operating with ambiguity in a fast-paced environment
• Previous experience as data analyst, data-driven, set up KPIs
• Experience in ad tech, media, or digital marketing is a strong plus
• Fluent English mandatory
• You connect with our values:
  • Relentless Customer Focus: You put customers at the heart of everything, building strong relationships, understanding customers needs, and making decisions that keep their perspective front and center.
  • Act Today, Not Tomorrow: You make smart decisions quickly, prioritize action over perfection, and keep things moving forward, even when things aren’t 100% clear.
  • Obsess About Outcomes: You’re outcome-driven, take ownership of your results, and work through challenges to deliver what really matters.
  • Evolve Through Change: You’re adaptable, curious, and see change as a chance to learn and improve. You evolve your skills to keep up and push ahead.
  • Human-driven, Powered by AI: While we use AI to drive performance, it’s our people who make the real difference. You bring empathy, collaboration, and a love of learning to everything you do.

Please submit your CV in English.

About the opportunity 

At Teads, we believe marketing should be measurable, scalable, and built to drive real business impact. We’re a global team pushing the boundaries of digital advertising, combining creativity, technology, and data to shape the future of media.

We’re looking for a Senior Marketing Manager, Operations & Data Analytics (Maternity Leave Coverage for 9 months) to lead and evolve our global measurement ecosystem while ensuring our operations infrastructure runs smoothly and efficiently.

What will you do?

Reporting to the Global Head of Marketing Strategy & Operations, you will own the evolution of Teads’ global marketing measurement framework while maintaining and enhancing the operational backbone that enables it.

You’ll play a critical role in connecting activities to business outcomes, translating performance across brand, demand generation, product, ABM, and customer initiatives into a unified view of contribution to revenue and growth.

This role is ideal for someone who can both run complex operations and elevate measurement capabilities, making insights faster, clearer, and more actionable across the organization.

Marketing Measurement & Analytics

• Support the evolution of Teads’ global marketing measurement framework, connecting top-of-funnel activity to pipeline, revenue, and customer value - and partnering with tech teams’ to align and implement the infrastructure to make it possible
• SQL proficiency with hands-on experience querying and modeling data via dashboards on Looker Studio Pro / Looker. 
• Explore ways to fetch data into BigQuery, map requirements and partners (e.g: Rivery, Funnel IO, Coupler, Extract)  and guide discovery phase along with Data and Security
• Standardize KPIs’ definitions and create a shared measurement language across global marketingStandardize KPI definitions and drive alignment on a shared measurement language across the organization
• Improve attribution models and performance methodologies to better capture the impact of multi-touch, multi-channel programs

Reporting & Data Infrastructure

• Design, build and optimize scalable reporting systems and dashboards that serve as trusted sources of truth for marketing and GTM process
• Translate complex datasets into clear, decision-ready insights that influence investment, prioritization, and strategy
• Partner with Data, RevOps, and BI teams to strengthen data pipelines, tracking, and integration between marketing platforms and CRM
• Champion a culture of data-driven decision making across the marketing organization

Marketing Operations & Enablement

• Ensure the marketing operations ecosystem runs efficiently, enabling prioritization and continuity of marketing campaigns and projects
• Improve processes that accelerate reporting cycles and reduce friction, duplication and enable visibility on marketing activities across teams
• Identify operational gaps and implement scalable solutions that increase speed, accuracy, and visibility

What will you bring to the team?

• 5+ years of experience in marketing analytics, data analysis, marketing operations or a related field
• Strong expertise in BI tools (e.g., Looker) and working knowledge of SQL or advanced data environments. 
• Experience with marketing tech stacks, including CRMs (Salesforce, Hubspot), automation platforms, and work management tools like Monday.com
• Deep understanding of attribution, data integrity, governance, and ROI measurement
• Proven ability to improve tracking frameworks, reporting reliability, and turn insights into action
• Strong cross-functional collaborator, able to align global teams around shared metrics
• Highly autonomous, proactive, and comfortable operating with ambiguity in a fast-paced environment
• Previous experience as data analyst, data-driven, set up KPIs
• Experience in ad tech, media, or digital marketing is a strong plus
• Fluent English mandatory
• You connect with our values:
  • Relentless Customer Focus: You put customers at the heart of everything, building strong relationships, understanding customers needs, and making decisions that keep their perspective front and center.
  • Act Today, Not Tomorrow: You make smart decisions quickly, prioritize action over perfection, and keep things moving forward, even when things aren’t 100% clear.
  • Obsess About Outcomes: You’re outcome-driven, take ownership of your results, and work through challenges to deliver what really matters.
  • Evolve Through Change: You’re adaptable, curious, and see change as a chance to learn and improve. You evolve your skills to keep up and push ahead.
  • Human-driven, Powered by AI: While we use AI to drive performance, it’s our people who make the real difference. You bring empathy, collaboration, and a love of learning to everything you do.

Please submit your CV in English.

About the opportunity 

At Teads, we believe marketing should be measurable, scalable, and built to drive real business impact. We’re a global team pushing the boundaries of digital advertising, combining creativity, technology, and data to shape the future of media.

We’re looking for a Senior Marketing Manager, Operations & Data Analytics (Maternity Leave Coverage for 9 months) to lead and evolve our global measurement ecosystem while ensuring our operations infrastructure runs smoothly and efficiently.

What will you do?

Reporting to the Global Head of Marketing Strategy & Operations, you will own the evolution of Teads’ global marketing measurement framework while maintaining and enhancing the operational backbone that enables it.

You’ll play a critical role in connecting activities to business outcomes, translating performance across brand, demand generation, product, ABM, and customer initiatives into a unified view of contribution to revenue and growth.

This role is ideal for someone who can both run complex operations and elevate measurement capabilities, making insights faster, clearer, and more actionable across the organization.

Marketing Measurement & Analytics

• Support the evolution of Teads’ global marketing measurement framework, connecting top-of-funnel activity to pipeline, revenue, and customer value - and partnering with tech teams’ to align and implement the infrastructure to make it possible
• SQL proficiency with hands-on experience querying and modeling data via dashboards on Looker Studio Pro / Looker. 
• Explore ways to fetch data into BigQuery, map requirements and partners (e.g: Rivery, Funnel IO, Coupler, Extract)  and guide discovery phase along with Data and Security
• Standardize KPIs’ definitions and create a shared measurement language across global marketingStandardize KPI definitions and drive alignment on a shared measurement language across the organization
• Improve attribution models and performance methodologies to better capture the impact of multi-touch, multi-channel programs

Reporting & Data Infrastructure

• Design, build and optimize scalable reporting systems and dashboards that serve as trusted sources of truth for marketing and GTM process
• Translate complex datasets into clear, decision-ready insights that influence investment, prioritization, and strategy
• Partner with Data, RevOps, and BI teams to strengthen data pipelines, tracking, and integration between marketing platforms and CRM
• Champion a culture of data-driven decision making across the marketing organization

Marketing Operations & Enablement

• Ensure the marketing operations ecosystem runs efficiently, enabling prioritization and continuity of marketing campaigns and projects
• Improve processes that accelerate reporting cycles and reduce friction, duplication and enable visibility on marketing activities across teams
• Identify operational gaps and implement scalable solutions that increase speed, accuracy, and visibility

What will you bring to the team?

• 5+ years of experience in marketing analytics, data analysis, marketing operations or a related field
• Strong expertise in BI tools (e.g., Looker) and working knowledge of SQL or advanced data environments. 
• Experience with marketing tech stacks, including CRMs (Salesforce, Hubspot), automation platforms, and work management tools like Monday.com
• Deep understanding of attribution, data integrity, governance, and ROI measurement
• Proven ability to improve tracking frameworks, reporting reliability, and turn insights into action
• Strong cross-functional collaborator, able to align global teams around shared metrics
• Highly autonomous, proactive, and comfortable operating with ambiguity in a fast-paced environment
• Previous experience as data analyst, data-driven, set up KPIs
• Experience in ad tech, media, or digital marketing is a strong plus
• Fluent English mandatory
• You connect with our values:
  • Relentless Customer Focus: You put customers at the heart of everything, building strong relationships, understanding customers needs, and making decisions that keep their perspective front and center.
  • Act Today, Not Tomorrow: You make smart decisions quickly, prioritize action over perfection, and keep things moving forward, even when things aren’t 100% clear.
  • Obsess About Outcomes: You’re outcome-driven, take ownership of your results, and work through challenges to deliver what really matters.
  • Evolve Through Change: You’re adaptable, curious, and see change as a chance to learn and improve. You evolve your skills to keep up and push ahead.
  • Human-driven, Powered by AI: While we use AI to drive performance, it’s our people who make the real difference. You bring empathy, collaboration, and a love of learning to everything you do.

Please submit your CV in English.

About the opportunity 

At Teads, we believe marketing should be measurable, scalable, and built to drive real business impact. We’re a global team pushing the boundaries of digital advertising, combining creativity, technology, and data to shape the future of media.

We’re looking for a Senior Marketing Manager, Operations & Data Analytics (Maternity Leave Coverage for 9 months) to lead and evolve our global measurement ecosystem while ensuring our operations infrastructure runs smoothly and efficiently.

What will you do?

Reporting to the Global Head of Marketing Strategy & Operations, you will own the evolution of Teads’ global marketing measurement framework while maintaining and enhancing the operational backbone that enables it.

You’ll play a critical role in connecting activities to business outcomes, translating performance across brand, demand generation, product, ABM, and customer initiatives into a unified view of contribution to revenue and growth.

This role is ideal for someone who can both run complex operations and elevate measurement capabilities, making insights faster, clearer, and more actionable across the organization.

Marketing Measurement & Analytics

• Support the evolution of Teads’ global marketing measurement framework, connecting top-of-funnel activity to pipeline, revenue, and customer value - and partnering with tech teams’ to align and implement the infrastructure to make it possible
• SQL proficiency with hands-on experience querying and modeling data via dashboards on Looker Studio Pro / Looker. 
• Explore ways to fetch data into BigQuery, map requirements and partners (e.g: Rivery, Funnel IO, Coupler, Extract)  and guide discovery phase along with Data and Security
• Standardize KPIs’ definitions and create a shared measurement language across global marketingStandardize KPI definitions and drive alignment on a shared measurement language across the organization
• Improve attribution models and performance methodologies to better capture the impact of multi-touch, multi-channel programs

Reporting & Data Infrastructure

• Design, build and optimize scalable reporting systems and dashboards that serve as trusted sources of truth for marketing and GTM process
• Translate complex datasets into clear, decision-ready insights that influence investment, prioritization, and strategy
• Partner with Data, RevOps, and BI teams to strengthen data pipelines, tracking, and integration between marketing platforms and CRM
• Champion a culture of data-driven decision making across the marketing organization

Marketing Operations & Enablement

• Ensure the marketing operations ecosystem runs efficiently, enabling prioritization and continuity of marketing campaigns and projects
• Improve processes that accelerate reporting cycles and reduce friction, duplication and enable visibility on marketing activities across teams
• Identify operational gaps and implement scalable solutions that increase speed, accuracy, and visibility

What will you bring to the team?

• 5+ years of experience in marketing analytics, data analysis, marketing operations or a related field
• Strong expertise in BI tools (e.g., Looker) and working knowledge of SQL or advanced data environments. 
• Experience with marketing tech stacks, including CRMs (Salesforce, Hubspot), automation platforms, and work management tools like Monday.com
• Deep understanding of attribution, data integrity, governance, and ROI measurement
• Proven ability to improve tracking frameworks, reporting reliability, and turn insights into action
• Strong cross-functional collaborator, able to align global teams around shared metrics
• Highly autonomous, proactive, and comfortable operating with ambiguity in a fast-paced environment
• Previous experience as data analyst, data-driven, set up KPIs
• Experience in ad tech, media, or digital marketing is a strong plus
• Fluent English mandatory
• You connect with our values:
  • Relentless Customer Focus: You put customers at the heart of everything, building strong relationships, understanding customers needs, and making decisions that keep their perspective front and center.
  • Act Today, Not Tomorrow: You make smart decisions quickly, prioritize action over perfection, and keep things moving forward, even when things aren’t 100% clear.
  • Obsess About Outcomes: You’re outcome-driven, take ownership of your results, and work through challenges to deliver what really matters.
  • Evolve Through Change: You’re adaptable, curious, and see change as a chance to learn and improve. You evolve your skills to keep up and push ahead.
  • Human-driven, Powered by AI: While we use AI to drive performance, it’s our people who make the real difference. You bring empathy, collaboration, and a love of learning to everything you do.

Please submit your CV in English.

About the opportunity 

At Teads, we believe operations should be measurable, scalable, and built to drive real business impact. We’re a global team pushing the boundaries of digital advertising, combining creativity, technology, and data to shape the future of media.

We’re looking for a Senior Operations & Data Analytics Manager (Maternity Leave Coverage for 9 months) to lead and evolve our global measurement ecosystem while ensuring our operations infrastructure runs smoothly and efficiently.

What will you do?

You will own the evolution of Teads’ global measurement framework while maintaining and enhancing the operational backbone that enables it.

You’ll play a critical role in connecting activities to business outcomes, translating performance across brand, demand generation, product, ABM, and customer initiatives into a unified view of contribution to revenue and growth.

This role is ideal for someone who can both run complex operations and elevate measurement capabilities, making insights faster, clearer, and more actionable across the organization.

Measurement & Analytics

• Support the evolution of Teads’ global measurement framework, connecting top-of-funnel activity to pipeline, revenue, and customer value - and partnering with tech teams’ to align and implement the infrastructure to make it possible
• SQL proficiency with hands-on experience querying and modeling data via dashboards on Looker Studio Pro / Looker. 
• Explore ways to fetch data into BigQuery, map requirements and partners (e.g: Rivery, Funnel IO, Coupler, Extract)  and guide discovery phase along with Data and Security
• Standardize KPI definitions and drive alignment on a shared measurement language across the organization
• Improve attribution models and performance methodologies to better capture the impact of multi-touch, multi-channel programs

Reporting & Data Infrastructure

• Design, build and optimize scalable reporting systems and dashboards that serve as trusted sources of truth for teams and GTM process
• Translate complex datasets into clear, decision-ready insights that influence investment, prioritization, and strategy
• Partner with Marketing, Data, RevOps, and BI teams to strengthen data pipelines, tracking, and integration between marketing platforms and CRM
• Champion a culture of data-driven decision making across the team

Operations & Enablement

• Ensure the operations ecosystem runs efficiently, enabling prioritization and continuity of campaigns and projects
• Improve processes that accelerate reporting cycles and reduce friction, duplication and enable visibility on team activities 
• Identify operational gaps and implement scalable solutions that increase speed, accuracy, and visibility

What will you bring to the team?

• 5+ years of experience in data analysis, operations or a related field
• Strong expertise in BI tools (e.g., Looker) and working knowledge of SQL or advanced data environments. 
• Experience with tech stacks, including CRMs (Salesforce, Hubspot), automation platforms, and work management tools like Monday.com
• Deep understanding of attribution, data integrity, governance, and ROI measurement
• Proven ability to improve tracking frameworks, reporting reliability, and turn insights into action
• Strong cross-functional collaborator, able to align global teams around shared metrics
• Highly autonomous, proactive, and comfortable operating with ambiguity in a fast-paced environment
• Previous experience as data analyst, data-driven, set up KPIs
• Experience in ad tech, media, or digital marketing is a strong plus
• Fluent English mandatory
• You connect with our values:
  • Relentless Customer Focus: You put customers at the heart of everything, building strong relationships, understanding customers needs, and making decisions that keep their perspective front and center.
  • Act Today, Not Tomorrow: You make smart decisions quickly, prioritize action over perfection, and keep things moving forward, even when things aren’t 100% clear.
  • Obsess About Outcomes: You’re outcome-driven, take ownership of your results, and work through challenges to deliver what really matters.
  • Evolve Through Change: You’re adaptable, curious, and see change as a chance to learn and improve. You evolve your skills to keep up and push ahead.
  • Human-driven, Powered by AI: While we use AI to drive performance, it’s our people who make the real difference. You bring empathy, collaboration, and a love of learning to everything you do.

We care about you

• Hybrid working model (3 days per week in the office).
• Expand your toolbox with our mentorship program and internal learning tools.
• Pet friendly office.
• Happy hours & Free lunch twice a week that is cooked by a renowned chef.
• …and of course a fully stocked kitchen!

Please submit your CV in English.

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for an Analytics manager who will:

• Develop and execute the analytics strategy aligned with overall business goals, identifying high-impact analytical opportunities. 

• Lead, mentor, and manage a team of analytics professionals (Associates and Senior Associates). 

• Oversee multiple concurrent analytical projects, ensuring timely delivery, quality, and alignment with business objectives and resource allocation. 

• Act as a primary point of contact for senior business stakeholders, understanding their challenges, translating them into analytical problems and presenting solutions. 

• Drive the adoption of advanced analytical techniques and cutting-edge tools to enhance team capabilities and efficiency. 

• Establish and monitor key metrics for team productivity and project success. 

Skills and Experience

If this opportunity looks right for you, we are looking for candidates who have:

• Experience: 3+ years of experience in analytics 

  Technical Skills: 

  • Expert in leading BI platforms (e.g., Tableau, Power BI, Looker) for client reporting. 
  • Familiarity with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lakes and Alteryx or data transformation/processing in the cloud (e.g., Azure, GCP, Power Apps, Power Automate).
  • Soft Skills: Exceptional leadership, strategic thinking, problem-solving, and cross-functional collaboration abilities. Proven ability to influence and drive change through data. 
  • Reporting Structure: Reports to a Director or Senior Director of Analytics 

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, and training sessions, life insurance, wellness programs, significant paid time off, preferential partner discounts, employee mental health awareness day, and more. 

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

 
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

This position is in a Remote or Hybrid Work Modality and must be performed within Colombian territory. Only candidates residing in Colombia with a valid work permit may apply. Remote work contracts do not allow employment or relocation abroad.

 Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy ) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

Perfil: Desarrollador Cloud

Rol: Desarrollador

Nivel: STD – SR

Experiencia

Años de experiencia:

• 3 o más años de experiencia como Desarrollador/a Cloud (Multi‑Nube) con IA/ML y DevOps.

Escolaridad

• Licenciatura o Ingeniería en:
• Sistemas
• Computación
• Matemáticas
• Física
• Carrera afín
• (O experiencia equivalente comprobable)

Modalidad y Condiciones de Trabajo

• Modalidad de trabajo: Híbrido
• Días en oficina: 2 veces por semana
• Horario: Lunes a viernes, 9:00 a.m. a 6:00 p.m.
• Ubicación: CDMX
• Dirección de sede: Polanco / Reforma

Objetivo del Puesto

Diseñar, construir y operar aplicaciones y servicios escalables en entornos multi‑nube (AWS, GCP y/o Azure), integrando desarrollo backend, prácticas DevOps/MLOps e implementación de modelos de IA/ML en entornos productivos, asegurando calidad, seguridad, observabilidad y eficiencia operativa.

Certificaciones Recomendadas

Google Cloud Platform

• Google Professional Cloud Developer
• Google Professional Cloud Architect (deseable para perfil SR)
• Google Professional Machine Learning Engineer
• Google Associate Cloud Engineer

Amazon Web Services (AWS)

• AWS Certified Developer – Associate
• AWS Certified Solutions Architect – Associate
• AWS Certified Machine Learning – Specialty (altamente alineada a IA/ML)
• AWS DevOps Engineer – Professional (deseable para perfil SR)

Microsoft Azure

• Microsoft Certified: Azure Developer Associate (AZ‑204)
• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Azure DevOps Engineer Expert

Machine Learning

• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
• Azure Data Scientist Associate
• TensorFlow Developer Certificate
• IBM AI Engineering Professional Certificate

Idioma

• Inglés técnico (deseable)

Habilidades Blandas

• Trabajo en equipo
• Autogestión
• Perfil autodidacta
• Comunicación efectiva
• Resolución de problemas
• Adaptabilidad
• Proactividad
• Pensamiento analítico

Requisitos Técnicos

Versionador e Integrador de Código

• Git
• GitHub Actions / GitLab CI
• Cloud Build / Cloud Deploy (GCP)
• CodeBuild / CodePipeline (AWS)
• Azure DevOps Pipelines

Lenguajes de Programación

• Python
• Node.js
• TypeScript (deseable)
• SQL
• YAML (pipelines / Infraestructura como Código)

Sistemas Operativos

• Linux (principal)
• Windows
• macOS

Manejadores de Bases de Datos

• Cloud SQL
• Amazon RDS
• Azure SQL
• BigQuery
• Bases de datos relacionales y analíticas
• Almacenamiento de objetos:
• Amazon S3
• Google Cloud Storage
• Azure Blob Storage

Frameworks de Desarrollo

Backend

• Express
• Fastify (Node.js)

IA / ML

• scikit-learn
• TensorFlow / Keras
• PyTorch

NLP

• spaCy
• NLTK
• Hugging Face Transformers (deseable)

IDE

• Visual Studio Code
• IDEs compatibles con Python y Node.js

Herramientas

• Docker
• Kubernetes (GKE / EKS / AKS)
• Helm
• Terraform
• MLflow / DVC
• Postman (pruebas de APIs)
• Prometheus / Grafana
• OpenTelemetry

Plataformas Cloud

• Google Cloud Platform (principal)
• Amazon Web Services (deseable)
• Microsoft Azure (deseable)

Asistentes de IA

• No especificados explícitamente
• (Uso implícito de frameworks y plataformas de IA/ML)

Conocimiento del Negocio

Marcos o Metodologías de Trabajo

• Metodología Ágil
• Scrum

Herramientas para Seguimiento y Control de Proyectos

• Gestión de backlog (herramientas ágiles no especificadas)
• Métricas ágiles:
• Velocity
• Lead Time
• Tableros de observabilidad
• Definición y seguimiento de SLO / SLI

Esquema de Trabajo

• Asignación a proyectos
• Desarrollo y operación de productos digitales
• (No esquema de fábrica de software)

Tipo de Asignación

• Proyectos
• Operación
• Soporte productivo
• Mejora continua

Tipo de Proyecto

• Ágil

Industria

• Banca / Servicios Financieros

Tecnología

• Cloud Computing
• Inteligencia Artificial / Data

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary
Senior Analyst role is expected to support the broader analytics team in measuring and validating the effectiveness of paid media for channels including but not limited to, Linear TV, OTT, Social Activation, and Programmatic Activation, Audio, and OOH The Senior Analyst is expected to demonstrate the following skills/experience: strong grasp of  experimental design, specifically covering A/B testing for Brand Impact (brand lift studies) and performance (conversion lift studies). Hands-on skills in data management and data  visualization, quantitative data analysis, problem solving, statistical modeling, and the ability to  develop/analyze business cases. Strong ability to design, customize, and maintain platforms for contract management, business intelligence, and user access. Excellent oral and written communication skills, client focus and the ability to support and enable teamwork, self-motivated and able to operate independently with limited guidance and direction.

Requirements
• Bachelor's degree in a STEM-focused area such as Economics, Computer Science, Mathematics, Physics; a related field or equivalent professional work experience is 
required.
• 2 - 4 years of relevant work experience in analytics.
• Strong analytical abilities and quantitative skills.
• Advanced Google Sheets skills including pivot tables, VLOOKUP, building charts and graphs, etc.
• An understanding of Python and/or SQL (especially BigQuery/GCP) is helpful but not required.
• Experience with data visualization tools such as Tableau, Looker, or PowerBI is a niceto-have.
• A background in statistical modeling (e.g., linear regression) is highly preferred.
• Experience with Google Analytics, Adobe Analytics, and other web analytics tools is preferred but not mandatory.
• Knowledge of media ad servers such as Google Campaign Manager or Meta CAPI would be preferred.
• Strong understanding of media metrics (e.g., buying models, CPV, VCR, GRP) and quantitative business measures.

About the Role

We are looking for a Senior Revenue Operations Analyst to join our Revenue Operations team, responsible for driving, scaling, and optimizing revenue performance to support strategic decision-making.

This role plays a key part in connecting revenue motions across Marketing, Sales, Customer Success, and Finance, ensuring high efficiency of processes, tools, and people.

The position requires on-site presence in Mexico City (hybrid model), with close collaboration across cross-functional teams in a fast-paced and constantly evolving environment.

Responsibilities

1. Revenue Operations (Core)

• Own and optimize core revenue processes across the funnel (Marketing → Sales → Customer Success).
• Drive visibility and consistency across key metrics such as:
• Pipeline generation and conversion
• Revenue forecasting accuracy
• MRR, ARR, churn, retention, and expansion
• Partner with sales leadership to define, track, and evolve strategic KPIs and revenue targets.
• Identify performance gaps and propose actionable recommendations to improve efficiency and growth.
• Support quarterly and annual planning cycles (targets, capacity, quotas, and coverage).

2. Data & Analytics

• Working with the Data Team to structure and maintain reliable datasets and reporting layers to support business decisions.
• Translate business needs into data requirements and analytical frameworks.
• Ensure data consistency across systems (CRM, Finance, Marketing, Product).
• Build and delivery data insights with analytics engineers of Data team to sales leadership 

3. Systems & Tools

• Act as a key stakeholder in the evolution and governance of the RevOps tech stack, including:
• CRM (e.g., HubSpot or Salesforce)
• Marketing platforms
• Financial and billing systems (e.g., SAP)
• BI tools (Looker, Power BI, Tableau)
• Ensure proper usage, adoption, and data quality across systems.
• Identify and implement automation opportunities to improve scalability and efficiency.
• Collaborate with Data Engineering on tools such as Databricks and Google Cloud when needed.

4. Collaboration & Business Partnership

• Act as a strategic partner to Sales, Marketing, Customer Success, and Finance leaders.
• Translate business challenges into structured analyses and scalable solutions.
• Facilitate alignment across teams on definitions, processes, and performance metrics.
• Support executive communication with clear, structured, and data-driven insights.
• Operate effectively in a dynamic, high-growth, and ambiguous environment.

 Requirements

• Proven experience in Revenue Operations, Business Operations, or Analytics roles.
• Expertise in SQL and data analysis.
• Solid experience working with CRM systems (preferably Salesforce).
• Experience with BI tools (Looker, Power BI, Tableau, or similar).
• Familiarity with Google ecosystem (BigQuery, Google Sheets).
• Basic knowledge of Python and data workflows is a plus.
• Strong understanding of SaaS metrics and revenue models (MRR, ARR, LTV, CAC, churn).
• Experience with forecasting, pipeline management, and performance tracking.
• Ability to connect data with business context and drive actionable insights.
• Structured thinking and strong problem-solving skills.
• Strong communication skills with both technical and business stakeholders.
• Ability to operate in fast-changing and ambiguous environments.
• High attention to detail combined with a strategic view.
• Results-oriented with focus on business impact.

Nice to Have

• Experience in high-growth SaaS environments.
• Previous exposure to quota planning, compensation, or capacity models.
• Experience working in international teams.
• Familiarity with tools like Databricks or modern data stacks.
• Advanced English is a plus.

• Data Pipeline Development: Support the design, development, and implementation of new data pipelines using GCP services like Data Fusion, Cloud Functions, and Dataproc to ingest data from a variety of sources. 
• SQL-Based Transformations: Author, execute, and optimize complex SQL joins and transformations within GCP BigQuery to clean, reshape, and structure raw data into high-quality, usable assets. 
• Data Modeling Support: Assist the senior engineering and analytics teams with data modeling and schema design, helping to implement the structures that support our BI and analytics use cases. 
• Pipeline Maintenance and Optimization: Monitor, troubleshoot, and enhance existing data pipelines to ensure data quality, reliability, and performance. 
• Collaboration and Implementation: Work as a key member of the engineering team to translate technical requirements into functional code and support the deployment of data solutions. 

• 2-4+ years of hands-on experience in a data engineering or similar role. 
• Strong, demonstrated proficiency in SQL for data manipulation and transformation is essential. 
• Hands-on programming experience with Python for data processing tasks. 
• Experience working within a major cloud environment (GCP is highly preferred; AWS, Azure are also valuable). 
• Experience working with complex, large-scale enterprise media data is a strong plus. 
• Familiarity with ETL/ELT principles and experience with data pipeline orchestration tools (e.g., Airflow, Data Fusion). 
• Understanding of data warehousing concepts and database design. 
• A collaborative mindset with strong problem-solving skills and attention to detail. 
• Bachelor's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience. 

For Mexico: This position is available in a Remote or Hybrid Work Modality. The candidate must perform their work from any location within Mexico. Only Mexican nationals residing in the country or foreign nationals with a valid work permit may apply. Remote work from abroad is not permitted under any circumstances.

For Colombia: This position is in a Remote or Hybrid Work Modality and must be performed within Colombian territory. Only candidates residing in Colombia with a valid work permit may apply. Remote work contracts do not allow employment or relocation abroad.