Measurement Partner for Performance CoE- Brazil

Team Introduction The Marketing Science Measurement team is responsible for interpreting the performance of advertising on our platform. We work with advertisers to optimise their activity on the platform and build meaningful connections that help drive behaviour change. Within the Marketing Science Team, we have a Centre of Excellence (CoE) that supports how the team sets standards for how we measure, learn, and scale performance across regions. We partner with regional teams and strategic advertisers to design robust measurement programs, build tooling, and translate evidence into decisions that improve business outcomes worldwide.> About the role The Measurement Partner will partner with our leading clients and agencies to help measure the effectiveness of their investment in our platform. In addition, this role will partner with key cross‑functional teams such as sales, product marketing, measurement product and business marketing to ensure that clients and agencies have best‑in‑class support. The role within the CoE is a hands‑on, highly collaborative role that blends strategy, statistical rigor, and enablement. You will co‑own global learning agendas, design and operationalise experimentation at scale, and develop playbooks and frameworks that raise the bar for how our regions plan, test, and optimise. Responsibilities Co‑design global learning agendas and experimentation roadmaps with Sales, Product Marketing, and regional Marketing Science teams. Establish standards for design, analysis, documentation, and decisioning (hypothesis templates, guardrails, code review, reproducibility). Translate complex methods into clear recommendations for executives and practitioners. Architect and QA A/B, geo‑lift, incrementality, and calibration studies; select appropriate designs under privacy and data constraints. Build scalable templates that regional teams can reuse with minimal modification. Run post‑test evidence reviews to codify learnings and update learning frameworks. Develop and maintain approaches for ad‑stock/decay, saturation & elasticity, budget‑reallocation simulators, and incremental ROAS estimation. Diagnose interactions across levers and communicate trade‑offs in plain language. Conduct methodological and code reviews, ensuring statistical assumptions, diagnostics, data QA, and reproducibility. Create and deliver training on statistical concepts, including live sessions, office hours, and self‑serve modules. Write reference implementations and concise documentation for maintainability. Partner with Product/Measurement Product to provide field feedback and shape roadmaps; pilot new features with lighthouse clients. Work with regional leaders to adapt global frameworks to local market structures and constraints, scaling PoCs into programs. Join senior client conversations as a trusted advisor, guiding how to test, measure, and act. Convert insights into clear actions and measure the business impact of those actions. Manage client and agency feedback to ensure their voice is reflected with product and partnerships teams. Minimum Qualifications At least 3–5 years of experience with digital advertising, large marketing‑related organizations, or measurement suppliers. Expertise in advertising data, measurement methods, and statistical modeling, including measurement design (A/B, geo/market tests, lift studies, calibration) and statistical modeling (ad‑stock/decay, saturation, elasticity). Basic knowledge of R or Python and SQL; comfortable reviewing code and enforcing reproducibility standards. Demonstrated success where measurement contributions led to behavior change and influence senior stakeholders. Strong prioritization and program‑building mindset, scaling PoC into playbooks. Proficient in English (written and verbal) across technical and non‑technical audiences. Preferred Qualifications Relevant bachelor’s degree in Business, Advertising, Economics, Computer Science, Statistics, or Research. Familiarity with privacy‑first innovation for measurement systems. Experience working with sales and cross‑functional teams. Experience with advertising agencies or advanced marketing data‑driven organizations. Familiarity with MMM/advanced attribution. Experience working across multiple regions/time zones with agencies or large advertisers. #J-18808-Ljbffr