Marketing modeling

Job DescriptionWe are seeking a highly skilled and strategic Marketing Modeling & Analytics Lead to build and lead the marketing analytics function across coches.net, motos.net, and Milanuncios . This is a critical individual contributor role, reporting directly to the Marketing Ops director and working closely with the Marketing Leadership Team, Product, Data, and different Business Units. As a key driver of our marketing intelligence, you will go beyond descriptive reporting to build and deploy advanced analytical frameworks. You will be responsible for designing and executing Uplift Testing (e.g: Geo-experiments), developing Marketing Mix Models (MMM), and leveraging Machine Learning to optimize budget allocation and customer lifetime value (CLTV). This role requires deep technical fluency in Python/R and a scientific approach to measuring marketing incrementality. Your mission will be to transform marketing performance through data: measuring what matters, predicting what’s next, and enabling smarter, faster decisions. You’ll work across Paid, Owned, and Earned channels, and bring deep expertise in incrementality, segmentation, AI, CLTV modeling, and performance forecasting. You’ll also influence our MarTech stack, tracking infrastructure, and how we approach insights and automation at scale. This role blends strategic thinking, technical fluency, and deep curiosity about customer behavior.Key AreasConsumer Insights & SegmentationAI & Predictive MarketingData Infrastructure & TrackingEnablement, Tooling & MarTech EvolutionResponsibilitiesMarketing Performance & MeasurementDefine and lead the end-to-end measurement framework across all marketing channelsOwn Marketing Mix Modeling (MMM), incrementality frameworks, and multi-touch attribution (MTA) in collaboration with the Data team.Design and analyze A/B tests, geo-holdouts, and lift studies to validate impact and guide investment channels (Paid Media, CRM, SEO, App, Brand).Analyze causal and behavioral customer patterns, identifying growth levers and drop-off drivers across the funnel.Develop and maintain customer segmentation models based on demographics, behavior, channel touchpoints, and lifecycle stage.Work on individual customer predictions to support personalization, targeting, and CRM decisioning.Translate insights into clear narratives that inform campaign design, creative direction, and investment strategy.Build and deploy AI/ML models to support budget optimization, LTV forecasting, creative testing, churn prediction, and audience ranking.Identify and experiment with new AI-driven tools to improve marketing precision and efficiency.Drive the adoption of predictive insights across marketing planning and operations.Partner with Tech and Data teams to ensure reliable data pipelines, event tracking, and schema design that meet marketing’s needs.Audit and improve data integrity across touchpoints, ensuring consistent measurement from source to dashboard.Define marketing data requirements for new tools, features, and customer journeys.Support tagging, instrumentation, and platform integrations (e.g. GA4, Segment, AppsFlyer, Braze) for end-to-end visibility.Serve as the marketing lead for data enablement and automation, aligning infrastructure and tooling with marketing strategy.Define standards for segmentation, enrichment, lead scoring, and campaign performance.Create frameworks for data quality checks, workflow reliability, and remediation with analytics and campaign teams.Influence the evolution of the marketing tech stack, ensuring it supports future measurement and personalization needs.What We’re Looking For5+ years of experience in Marketing Analytics, Data Science, or Growth roles with strong business orientation.Working knowledge of Python or R for statistical modeling and machine learning (required) and expertise in big data environments (e.g., BigQuery, Snowflake), SQL proficiency.Strong track record in MMM, casual inference, incrementality, and predictive modeling.Experience applying AI/ML to marketing use cases: spend optimization, audience modeling, churn prediction, etc. Knowledge of tools like GA4, Looker, AppsFlyer, Tableau, Braze.Ability to translate data into strategic recommendations with commercial and business impact.Familiarity with the Paid, Owned, and Earned media ecosystem and related measurement challenges.Fluent English, both written and spoken.Nice-to-HaveExperience in two-sided marketplaces or app-based platforms.Exposure to MarTech architecture and campaign automation flows.What We OfferA high-impact role working directly with the CMO and leadership team.Full ownership of marketing analytics in a fast-growing, multi-brand digital environment.The chance to shape how we use data, AI, and automation to unlock smarter growth.Cross-functional collaboration with senior marketers, engineers, and analysts.Competitive compensation, flexible work model, and strong personal development opportunities.#J-18808-Ljbffr