Senior Advanced Analytics Specialist

Publicis Groupe · Madrid

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Publicis Groupe, the world's second largest communications group that is present in more than 100 countries and has more than 98,000 employees. With a unique work philosophy, The Power of One puts clients at the center by promoting the growth of their business through creative agencies (Leo Constellation:Publicis Spain, Leo Spain; Publicis Health, Digitas Wysiwyg, Nurun), media (Zenith, Starcom, Spark and Performics), and areas of transversal knowledge.

Digitas is our specialized unit in data marketing that enables advertisers to delve into a holistic understanding of consumers, with the ability to create personalized audiences and activate them at scale.

Digitas is looking for an outstanding Senior Advanced Analytics Specialist with a strong background in econometric modeling to join our growing data and analytics team. You will act as our senior modeler for Marketing Mix Modeling (MMM), owning the end-to-end development of econometric models that quantify the impact of media and non-media drivers on business performance, while also contributing to multi-touch attribution, marketing experimentation, and propensity modeling. You will work closely with multidisciplinary teams, translating complex statistical work into clear, actionable recommendations that uncover opportunities, optimize performance, and drive business growth. Sound like you? Read on.

• Design, build, and maintain econometric Marketing Mix Models (MMM) that quantify the impact of media and non-media drivers (price, promotions, seasonality, macroeconomic factors) on sales and other business KPIs.
• Model adstock and saturation effects and translate model outputs into budget allocation and optimization scenarios for clients.
• Lead multi-touch attribution (MTA) modeling and help integrate it with MMM into a unified marketing measurement framework.
• Design, execute, and analyze marketing experiments (geo-experiments, holdout tests, incrementality/lift studies) to validate and calibrate models.
• Develop propensity and predictive models to support targeting, activation, and client decision-making.
• Bring in new ideas and methodological rigor to improve the performance and reliability of our data and modeling outputs.
• Collaborate closely with internal, multidisciplinary teams to drive success against client’s business goals.
• Create data reports and visualizations, preferably using Power BI, to communicate model results clearly.
• Analyze, clean, and organize data to ensure quality and consistency across modeling inputs.
• Take part in activities that require presenting and reporting directly to clients, including senior marketing stakeholders.

• 6+ years of experience in econometric or statistical modeling, including proven end-to-end experience building, deploying, and maintaining Marketing Mix Models (MMM) in a professional environment.
• Strong command of Bayesian methods (e.g. PyMC, Stan), frequentist models, and familiarity with MMM frameworks/tools such as Robyn, Meridian, or LightweightMMM.
• Solid understanding of causal inference techniques and experience designing marketing experiments (geo-experiments, difference-in-differences, synthetic control) to measure incrementality.
• Experience building propensity, scoring, or other predictive models applied to marketing use cases.
• Experience in Data Management and Processing Skills
• Scripting abilities, especially in SQL, with Python or R.
• Capacity to design and manage databases, with a focus on relational databases using tools like Microsoft SQL Server, SQLite, and Microsoft Access.
• Competencies in ETL (Extract, Transform, Load) tools and methods.
• Familiarity with data exploitation and visualization tools, preferably Power BI.

Data Understanding and Architecture

• A good understanding of data, data processing, and architecture.
• A willingness to spend part of your working time on data checking, cleaning, and organizing.
• Strong commercial skills and the ability to speak directly with clients, translating technical modeling work into clear business recommendations.

We think you’re awesome if you:

• Degree in Statistics, Econometrics, Mathematics, Economics, or a related quantitative field (Master's or PhD a plus).
• Track record presenting MMM or attribution results to senior marketing stakeholders and influencing budget decisions.
• Good level of English (B2).
• Proactive, well-organized, and analytical profile
• Creative mindset with strong adaptability
• Excellent communication and public speaking skills.
• Advanced proficiency in Excel and PowerPoint.

Why join us? Because we offer reasons such as:

• 🌟 Flexible Benefits (Coverflex): Enjoy more than just work with flexible compensation including meal vouchers, health insurance, transportation, and more.
• 🚀 Growth Opportunities: You can advance in your career not only through the experience of working with major clients but also by accessing local and global training programs specialized according to your role, covering both technical and soft skills.
• 📚 Free Online Training: You can access unlimited courses from LinkedIn Learning and Udemy Catalogs through our artificial intelligence platform "Marcel".
• 🥇 Partner Certifications: You'll have the opportunity to obtain certifications from industry giants such as Meta, Google, or Amazon.
• 🌍 Work from anywhere: Telecommute up to 6 weeks from over 100 countries with our #WorkYourWorld program.
• 🎉 Attractive holidays package including your birthday & Advertising Day off plus some additional days off. Rest is also important!
• 🧘🏻‍♂️ Well-being: We prioritize the well-being of our staff and organize various health initiatives such as daily meditation or yoga among others.

Employee benefits are an integral part of the company’s annual compensation package. These benefits are subject to the company’s current policies and guidelines and may be modified, updated, or adjusted at the company’s discretion to reflect organizational needs, regulatory requirements, or business conditions.

We are certified as a Great Place to Work, your happiness and providing you with an outstanding experience means a lot to us, let's enjoy!

Here at Publicis Groupe, we are committed to building a culturally diverse workforce and therefore strongly encourage applications from underrepresented groups. We are committed to equality of opportunity and welcome applications from all individuals, regardless of their background: we do not discriminate on the basis of race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, marital status, or any individual´s status in any group or class protected by law.

If you have any reasonable adjustment needs arising from a disability or medical condition to fully participate in the recruitment process, please discuss this with the recruiter who contacts you.

All employees are committed to complying with obligations regarding Information Security and Technologies, obligations related to the use of Artificial Intelligence, obligations stemming from the Quality and Environmental Management System, as well as obligations derived from the Integrity Management System, Corruption Prevention, and the Anti-Bribery and Anti-Corruption Policy. Furthermore, all employees are required to complete mandatory training courses, declarations, and compliance commitments in these areas.

• Design, build, and maintain econometric Marketing Mix Models (MMM) that quantify the impact of media and non-media drivers (price, promotions, seasonality, macroeconomic factors) on sales and other business KPIs.
• Model adstock and saturation effects and translate model outputs into budget allocation and optimization scenarios for clients.
• Lead multi-touch attribution (MTA) modeling and help integrate it with MMM into a unified marketing measurement framework.
• Design, execute, and analyze marketing experiments (geo-experiments, holdout tests, incrementality/lift studies) to validate and calibrate models.
• Develop propensity and predictive models to support targeting, activation, and client decision-making.
• Bring in new ideas and methodological rigor to improve the performance and reliability of our data and modeling outputs.
• Collaborate closely with internal, multidisciplinary teams to drive success against client’s business goals.
• Create data reports and visualizations, preferably using Power BI, to communicate model results clearly.
• Analyze, clean, and organize data to ensure quality and consistency across modeling inputs.
• Take part in activities that require presenting and reporting directly to clients, including senior marketing stakeholders.

• 6+ years of experience in econometric or statistical modeling, including proven end-to-end experience building, deploying, and maintaining Marketing Mix Models (MMM) in a professional environment.
• Strong command of Bayesian methods (e.g. PyMC, Stan), frequentist models, and familiarity with MMM frameworks/tools such as Robyn, Meridian, or LightweightMMM.
• Solid understanding of causal inference techniques and experience designing marketing experiments (geo-experiments, difference-in-differences, synthetic control) to measure incrementality.
• Experience building propensity, scoring, or other predictive models applied to marketing use cases.
• Experience in Data Management and Processing Skills
• Scripting abilities, especially in SQL, with Python or R.
• Capacity to design and manage databases, with a focus on relational databases using tools like Microsoft SQL Server, SQLite, and Microsoft Access.
• Competencies in ETL (Extract, Transform, Load) tools and methods.
• Familiarity with data exploitation and visualization tools, preferably Power BI.

Data Understanding and Architecture

• A good understanding of data, data processing, and architecture.
• A willingness to spend part of your working time on data checking, cleaning, and organizing.
• Strong commercial skills and the ability to speak directly with clients, translating technical modeling work into clear business recommendations.

We think you’re awesome if you:

• Degree in Statistics, Econometrics, Mathematics, Economics, or a related quantitative field (Master's or PhD a plus).
• Track record presenting MMM or attribution results to senior marketing stakeholders and influencing budget decisions.
• Good level of English (B2).
• Proactive, well-organized, and analytical profile
• Creative mindset with strong adaptability
• Excellent communication and public speaking skills.
• Advanced proficiency in Excel and PowerPoint.

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