Consultor(a) Especialista em Marketing Analytics(MMM)

Accountabilities:

• Lead end-to-end statistical consulting projects for marketing, from initial diagnosis and methodology definition through analysis, delivery, and client presentation, ensuring agreed scope and timelines are met.

• Develop and present Marketing Mix Modeling (MMM) solutions to measure the impact of media investments on business outcomes and support resource-allocation decisions.

• Conduct incremental and causal-impact studies to assess the true effectiveness of campaigns and channels, clearly explaining and defending the methodology to clients.

• Apply Shapley Values and other multi-touch attribution techniques to allocate conversion credit across channels and customer touchpoints.

• Build customer journey models using Markov Chains to understand the contribution of different channels throughout the conversion journey.

• Develop RFM segmentation and predictive LTV models to support customer retention, activation, acquisition, investment prioritization, and pricing strategies.

• Translate complex statistical outputs into practical, actionable, and defensible recommendations for both technical and business stakeholders.

• Act as a technical reference across project workstreams, supporting squads, guiding analytical decisions, and identifying opportunities to expand project scope with clients.

• Define and document methodologies, assumptions, standards, and measurement best practices to ensure consistency, traceability, and quality across deliverables.

• Collaborate with Media, Performance, BI, and Data Engineering teams to ensure the quality, accessibility, and reliability of data used in analytical models.

• Present findings, strategic recommendations, and next steps directly to senior sponsors and client stakeholders.

Requirements:

• Experience with data visualization tools such as Power BI, Looker Studio, or similar platforms, with the ability to communicate analytical findings effectively.

• Practical knowledge of paid-media and measurement platforms, including Google Ads, Meta Ads, Google Analytics 4, and AppsFlyer.

• Experience with specialized Marketing Mix Modeling libraries such as Robyn, LightweightMMM, or PyMC-Marketing.

• Strong understanding of statistical modeling and marketing analytics methodologies, particularly MMM, incrementality, attribution, customer segmentation, and predictive modeling.

• Experience working with cloud environments such as GCP, AWS, or Azure and modern data platforms including BigQuery, Redshift, or Snowflake.

• Demonstrated practical application of relevant methodologies through publications, professional cases, portfolios, or projects.

• Strong analytical and problem-solving skills, with the ability to transform complex quantitative analyses into clear business recommendations.

• Excellent communication and stakeholder-management skills, including confidence presenting technical concepts to marketing and business audiences.

• Ability to work independently in a consulting environment, manage project priorities, and collaborate effectively with multidisciplinary teams.

• A consultative mindset, business orientation, attention to methodological rigor, and commitment to delivering measurable client value.

Benefits:

• 100% remote work model.

• Opportunity to work on strategic Marketing Analytics and statistical consulting projects.

• Exposure to advanced methodologies including MMM, causal inference, attribution, customer journey modeling, RFM, and LTV.

• Collaboration with multidisciplinary teams spanning Marketing, Media, BI, Data Engineering, and Customer Insights.

• Opportunity to act as a technical reference and contribute to the development of analytical methodologies and best practices.

• Exposure to cloud data platforms and modern analytics technologies.

• Professional environment focused on continuous learning, innovation, collaboration, and data-driven decision-making.

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