About this role
Join our EMEA Mid-Market Marketing Science team. We unlock the full potential of businesses on Meta platforms by transforming advertising performance and industry practices through the use of data-driven analytical methods.
We are specifically looking for a candidate with analytical and critical thinking skills, and a passion for generating data-driven insights. This role will challenge you to not only provide strategic direction to advertisers about their measurement efforts, but also to create tools, develop programmes and identify ways to automate Marketing Science guidance across thousands of advertisers.
Responsibilities
Partner with advertisers to design and operationalize measurement learning agendas that connect advertising activity to business outcomes
Scope, design, and execute the effectiveness of ad studies, including conversion lift, brand lift, and multi-touch attribution across Meta platforms
Run internal and external education sessions on measurement and performance best practices
Collaborate with sales teams to prioritize client accounts and identify measurement opportunities that support advertiser growth
Translate complex quantitative research findings into clear, compelling narratives for non-technical client audiences
Support clients in working with third-party measurement vendors to set up, run, and interpret measurement studies
Apply your analytical expertise to drive relevant product adoption and new business growth in the service of client delivery
Contribute to the development and piloting of scalable measurement capabilities in partnership with the Product and Research and Development teams
Provide cross-functional input into team-level measurement priorities and help identify opportunities to improve measurement solutions at scale
Qualifications
8+ years of experience working in marketing effectiveness, market research, or business intelligence
Ability to explain in a simple way, complex analytical concepts, and/or problems
Proven experience with creating and delivering analytics-based presentations to senior decision makers
Experience analyzing and manipulating data sets to understand patterns and provide insight
Understanding of test design methodologies (geo-tests, A/B tests, multivariate tests, Randomised Control Trial experiments) along with survey sampling, and/or panel data
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience in operating scaled programs
Resourceful and process-oriented
Experience managing cross-functional projects involving multiple stakeholders, workstreams, and deliverables Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Understanding of the advertising landscape
Master’s degree in an analytical field such as computer science, engineering, mathematics, statistics, economics
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Familiarity with SQL
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Familiarity with basic commands in R and/or Python