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. 

Why You'll Love This Role: 

We're looking for an experienced ML Ops Engineer to join the ML/AI team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines.  This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale.

What You'll Be Doing:

• Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
• Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
• Automate infrastructure provisioning and service configuration with Terraform.
• Work to maintain and scale services that make use of third party LLM providers.
• Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows.
• Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints.
• Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving.

About You:

• 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE.
• Strong proficiency in Python.
• Hands-on experience with Docker containerization and container orchestration.
• Solid understanding of CI/CD for ML workflows in an enterprise production environment.
• Experience with Infrastructure as Code, preferably Terraform.
• Familiarity with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI).
• Experience with LLM integration and observability (OpenAI API, Google GenAI, Langfuse tracing).
• Experience building and maintaining data pipelines for ML training and feature engineering
• Familiarity with ML modeling workflows — training, evaluation, experiment tracking (e.g. MLFlow, Weights & Biases), and model versioning
• Experience monitoring and flagging model drift over time.
• Exposure to NLP/NLU models and frameworks such as Hugging Face Transformers, spaCy, or sentence-transformers
• Knowledge of vector databases (LanceDB, FAISS) and embedding-based retrieval systems
• Experience with scaling and maintaining deep learning frameworks (TensorFlow, PyTorch) in production settings
• Familiarity with classical ML libraries (scikit-learn, XGBoost, LightGBM) and model explainability tools (SHAP)
• Working knowledge of ML serving frameworks such as BentoML or similar.
• Comfort working with FastAPI or similar async Python web frameworks.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

he Sr Data Analyst is a mid-level practitioner role within Analytics, Intelligence, & Optimization. This role is responsible for leading substantial portions of reporting, dashboarding, and performance analysis workstreams that help teams understand business performance, identify opportunities, and support decision-making. The Sr Data Analyst works independently across recurring and ad hoc analytics needs, translates business questions into analytical approaches, and delivers clear, actionable insights to internal and client stakeholders. At this level, the role is expected to demonstrate strong analytical judgment, reliable execution, and growing leadership in how reporting logic, metric consistency, and insight generation are applied across engagements. 

Role responsibilities

• Lead the development, enhancement, and ongoing management of dashboards, reporting solutions, and recurring performance analysis. 
• Translate business questions into structured analytical approaches, reporting requirements, data needs, and output designs with limited oversight. 
• Analyze structured data to identify trends, anomalies, business drivers, and actionable opportunities. 
• Own lightweight transformation logic and dashboard-ready data modeling needed to support accurate and scalable analytics outputs. 
• Apply and reinforce semantic modeling practices by defining, documenting, and maintaining consistent business logic for metrics, dimensions, and KPIs. 
• Validate data quality, troubleshoot reporting issues, and resolve moderately complex data logic challenges in partnership with adjacent teams where needed. 
• Synthesize analysis into clear findings, implications, and recommendations for internal and client stakeholders. 
• Support stakeholder discussions by clearly explaining performance changes, report logic, assumptions, and recommended actions. 
• Partner with Measurement Implementation Analysts, CRO Analysts, SEO / GEO Specialists, Analytics Engineers, and DEPA teams to ensure analytics outputs align to measurement design, platform realities, and business needs. 
• Improve analytics delivery by identifying opportunities for better reporting structure, cleaner metric definitions, improved documentation, and more scalable analysis workflows. 
• Contribute to governance discipline by following established privacy, measurement, and data-quality standards in day-to-day work. 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong working knowledge of digital analytics, reporting, dashboarding, and performance measurement. 
• Ability to independently manage recurring analytics workstreams and produce reliable outputs with minimal oversight. 
• Strong understanding of data structures, joins, dimensions, metrics, KPI logic, and dashboard design principles. 
• Ability to turn data into clear, business-relevant insights and recommendations. 
• Strong analytical problem-solving skills, including the ability to investigate anomalies and identify likely drivers of performance. 
• Working knowledge of semantic modeling and the role of consistent business definitions in scalable analytics. 
• Ability to balance technical accuracy with stakeholder usability in reports and dashboards. 
• Strong written and verbal communication skills in English, including the ability to present findings clearly to non-technical audiences. 
• Strong attention to detail with a disciplined approach to validation, QA, and documentation. 
• Ability to work effectively across distributed teams in the Americas and collaborate across functions, time zones, and client contexts. 

Tools / Platforms 

• Analytics & Reporting 
• Google Analytics 4 (GA4) 
• Adobe Analytics 

Other digital analytics platforms as needed 

• Visualization & BI 
• Looker 
• Power BI 
• Tableau 
• Looker Studio 
• Data & Querying 
• SQL 
• BigQuery 
• Snowflake 
• Excel 
• Google Sheets 
• Optimization / Experience / CDP Ecosystem 
• Optimizely 
• Adobe Target 
• Dynamic Yield 
• CDP and optimization tools as relevant to the client environment 

Nice to have qualifications  

• Google Analytics certification or equivalent GA4 learning path 
• Adobe Analytics learning path or platform training 
• Looker, Tableau, or Power BI certification 
• SQL certification or equivalent applied coursework 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits   

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

he Sr Data Analyst is a mid-level practitioner role within Analytics, Intelligence, & Optimization. This role is responsible for leading substantial portions of reporting, dashboarding, and performance analysis workstreams that help teams understand business performance, identify opportunities, and support decision-making. The Sr Data Analyst works independently across recurring and ad hoc analytics needs, translates business questions into analytical approaches, and delivers clear, actionable insights to internal and client stakeholders. At this level, the role is expected to demonstrate strong analytical judgment, reliable execution, and growing leadership in how reporting logic, metric consistency, and insight generation are applied across engagements. 

Role responsibilities

• Lead the development, enhancement, and ongoing management of dashboards, reporting solutions, and recurring performance analysis. 
• Translate business questions into structured analytical approaches, reporting requirements, data needs, and output designs with limited oversight. 
• Analyze structured data to identify trends, anomalies, business drivers, and actionable opportunities. 
• Own lightweight transformation logic and dashboard-ready data modeling needed to support accurate and scalable analytics outputs. 
• Apply and reinforce semantic modeling practices by defining, documenting, and maintaining consistent business logic for metrics, dimensions, and KPIs. 
• Validate data quality, troubleshoot reporting issues, and resolve moderately complex data logic challenges in partnership with adjacent teams where needed. 
• Synthesize analysis into clear findings, implications, and recommendations for internal and client stakeholders. 
• Support stakeholder discussions by clearly explaining performance changes, report logic, assumptions, and recommended actions. 
• Partner with Measurement Implementation Analysts, CRO Analysts, SEO / GEO Specialists, Analytics Engineers, and DEPA teams to ensure analytics outputs align to measurement design, platform realities, and business needs. 
• Improve analytics delivery by identifying opportunities for better reporting structure, cleaner metric definitions, improved documentation, and more scalable analysis workflows. 
• Contribute to governance discipline by following established privacy, measurement, and data-quality standards in day-to-day work. 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong working knowledge of digital analytics, reporting, dashboarding, and performance measurement. 
• Ability to independently manage recurring analytics workstreams and produce reliable outputs with minimal oversight. 
• Strong understanding of data structures, joins, dimensions, metrics, KPI logic, and dashboard design principles. 
• Ability to turn data into clear, business-relevant insights and recommendations. 
• Strong analytical problem-solving skills, including the ability to investigate anomalies and identify likely drivers of performance. 
• Working knowledge of semantic modeling and the role of consistent business definitions in scalable analytics. 
• Ability to balance technical accuracy with stakeholder usability in reports and dashboards. 
• Strong written and verbal communication skills in English, including the ability to present findings clearly to non-technical audiences. 
• Strong attention to detail with a disciplined approach to validation, QA, and documentation. 
• Ability to work effectively across distributed teams in the Americas and collaborate across functions, time zones, and client contexts. 

Tools / Platforms 

• Analytics & Reporting 
• Google Analytics 4 (GA4) 
• Adobe Analytics 

Other digital analytics platforms as needed 

• Visualization & BI 
• Looker 
• Power BI 
• Tableau 
• Looker Studio 
• Data & Querying 
• SQL 
• BigQuery 
• Snowflake 
• Excel 
• Google Sheets 
• Optimization / Experience / CDP Ecosystem 
• Optimizely 
• Adobe Target 
• Dynamic Yield 
• CDP and optimization tools as relevant to the client environment 

Nice to have qualifications  

• Google Analytics certification or equivalent GA4 learning path 
• Adobe Analytics learning path or platform training 
• Looker, Tableau, or Power BI certification 
• SQL certification or equivalent applied coursework 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits   

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

he Sr Data Analyst is a mid-level practitioner role within Analytics, Intelligence, & Optimization. This role is responsible for leading substantial portions of reporting, dashboarding, and performance analysis workstreams that help teams understand business performance, identify opportunities, and support decision-making. The Sr Data Analyst works independently across recurring and ad hoc analytics needs, translates business questions into analytical approaches, and delivers clear, actionable insights to internal and client stakeholders. At this level, the role is expected to demonstrate strong analytical judgment, reliable execution, and growing leadership in how reporting logic, metric consistency, and insight generation are applied across engagements. 

Role responsibilities

• Lead the development, enhancement, and ongoing management of dashboards, reporting solutions, and recurring performance analysis. 
• Translate business questions into structured analytical approaches, reporting requirements, data needs, and output designs with limited oversight. 
• Analyze structured data to identify trends, anomalies, business drivers, and actionable opportunities. 
• Own lightweight transformation logic and dashboard-ready data modeling needed to support accurate and scalable analytics outputs. 
• Apply and reinforce semantic modeling practices by defining, documenting, and maintaining consistent business logic for metrics, dimensions, and KPIs. 
• Validate data quality, troubleshoot reporting issues, and resolve moderately complex data logic challenges in partnership with adjacent teams where needed. 
• Synthesize analysis into clear findings, implications, and recommendations for internal and client stakeholders. 
• Support stakeholder discussions by clearly explaining performance changes, report logic, assumptions, and recommended actions. 
• Partner with Measurement Implementation Analysts, CRO Analysts, SEO / GEO Specialists, Analytics Engineers, and DEPA teams to ensure analytics outputs align to measurement design, platform realities, and business needs. 
• Improve analytics delivery by identifying opportunities for better reporting structure, cleaner metric definitions, improved documentation, and more scalable analysis workflows. 
• Contribute to governance discipline by following established privacy, measurement, and data-quality standards in day-to-day work. 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong working knowledge of digital analytics, reporting, dashboarding, and performance measurement. 
• Ability to independently manage recurring analytics workstreams and produce reliable outputs with minimal oversight. 
• Strong understanding of data structures, joins, dimensions, metrics, KPI logic, and dashboard design principles. 
• Ability to turn data into clear, business-relevant insights and recommendations. 
• Strong analytical problem-solving skills, including the ability to investigate anomalies and identify likely drivers of performance. 
• Working knowledge of semantic modeling and the role of consistent business definitions in scalable analytics. 
• Ability to balance technical accuracy with stakeholder usability in reports and dashboards. 
• Strong written and verbal communication skills in English, including the ability to present findings clearly to non-technical audiences. 
• Strong attention to detail with a disciplined approach to validation, QA, and documentation. 
• Ability to work effectively across distributed teams in the Americas and collaborate across functions, time zones, and client contexts. 

Tools / Platforms 

• Analytics & Reporting 
• Google Analytics 4 (GA4) 
• Adobe Analytics 

Other digital analytics platforms as needed 

• Visualization & BI 
• Looker 
• Power BI 
• Tableau 
• Looker Studio 
• Data & Querying 
• SQL 
• BigQuery 
• Snowflake 
• Excel 
• Google Sheets 
• Optimization / Experience / CDP Ecosystem 
• Optimizely 
• Adobe Target 
• Dynamic Yield 
• CDP and optimization tools as relevant to the client environment 

Nice to have qualifications  

• Google Analytics certification or equivalent GA4 learning path 
• Adobe Analytics learning path or platform training 
• Looker, Tableau, or Power BI certification 
• SQL certification or equivalent applied coursework 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits   

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

The Role:

We are seeking a Looker Data Engineer for a project-based assignment to support a key client initiative. This role will focus on building and optimizing data models, developing scalable reporting solutions, and enabling data-driven decision-making through Looker and modern data stack technologies. The ideal candidate will have strong hands-on experience with Looker development, data modeling, and programmatic reporting, along with a solid foundation in SQL and cloud data platforms.

Key Responsibilities:

• Develop and maintain Looker data models, including LookML, models, and explores
• Build and optimize scalable, consumable data models to support business intelligence and strategic decision-making
• Utilize Looker API 4.0 to enable programmatic access to dashboards, looks, and explores
• Automate report generation and delivery using Looker API endpoints
• Write and optimize complex SQL queries to improve performance and efficiency
• Work with Snowflake, dbt, and Python to support data transformation and pipeline development
• Collaborate with stakeholders to translate data requirements into scalable BI solutions
• Ensure data accuracy, consistency, and performance across reporting layers

Required Skills:

• 3+ years Looker development experience (LookML, models, explores)
• Experience working with Looker API 4.0 for programmatic access
• Experience automating reporting using Looker API endpoints
• Ability to transform complex data into scalable, consumable data models
• Hands-on experience with Snowflake, dbt, and Python
• 2+ years SQL experience with query optimization

Nice to Have:

• Looker administration experience
• Experience working with BigQuery
• Experience with modern data pipelines and ELT workflows
• Familiarity with data governance, data quality, or BI best practices
• Experience working in a client-facing or consulting environment

Employment Type:

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

Business Intelligence Analyst

Ubicación: Torre Mapfre, Zona Reforma, CDMX
Modalidad: Hibrido

Propósito del puesto

Generar insights a partir de grandes volúmenes de datos mediante análisis exploratorio y visualización, para facilitar la toma de decisiones estratégicas del negocio, con un enfoque particular en ecommerce y canales digitales.

Responsabilidades

• Analizar grandes volúmenes de datos para identificar tendencias, patrones y oportunidades de mejora.
• Diseñar e implementar dashboards e informes interactivos orientados a negocio.
• Desarrollar, automatizar y monitorear procesos de análisis y reporting.
• Colaborar con equipos multidisciplinarios para asegurar la calidad, accesibilidad y uso eficiente de los datos.
• Presentar hallazgos relevantes a stakeholders no técnicos de forma clara y accionable.
• Contribuir a la mejora continua de la infraestructura de BI y procesos analíticos.

Requisitos técnicos (Hard Skills)

• Visualización de datos con Looker o Tableau (mínimo 2 años). Capacidad para crear dashboards interactivos, claros y adaptables a distintas audiencias.
• Dominio de SQL para extracción, transformación y carga de datos (ETL). Experiencia en consultas complejas, optimización y automatización.
• Análisis de datos con Python (Pandas) o R (dplyr). Creación de scripts, análisis estadístico básico y automatización de tareas.
• Experiencia con Google Analytics (mínimo 3 años). Interpretación de métricas clave web. Deseable certificación en GA4.
• Conocimiento de negocio en ecommerce y canales digitales. Familiaridad con KPIs clave y toma de decisiones basada en datos.

Herramientas y tecnologías deseables

• Bases de datos en la nube: AWS Redshift, Google BigQuery.
• Lenguajes de programación: Python, R.
• Metodologías ágiles: Scrum, Kanban. Uso de Jira.
• Modelado de datos: Star Schema, Dimensional Modeling.
• Certificaciones deseables: Google Analytics 4, cursos en visualización avanzada o análisis estadístico.

Soft Skills

• Comunicación efectiva con stakeholders y líderes de negocio.
• Enfoque en resultados, atención al detalle y pensamiento crítico.
• Adaptabilidad, autogestión y capacidad de autoaprendizaje.
• Trabajo en equipo orientado a la sinergia organizacional.
• Habilidad para presentar información técnica a audiencias no especializadas.

Requisitos generales

• Escolaridad: Licenciatura o ingeniería en Sistemas, Matemáticas, Estadística, Economía, Actuaría o afín.
• Idiomas: Inglés intermedio (mínimo). Deseable lectura y escritura técnica.
• Experiencia: Mínimo 4 años en un rol similar.

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.