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.