Marketing Measurement & Strategy Lead

About the job

• Develop measurement strategies aligned with customer business objectives, media investments, data maturity, and decision-making needs.
• Design integrated measurement roadmaps using MMM, incrementality testing, attribution, lift studies, and campaign analytics.
• Work with Marketing Science and Data Science teams to define analytical questions, data requirements, methodologies, timelines, and expected outcomes.
• Support experiment design, including hypotheses, holdout groups, geo-testing, success metrics, and data requirements.
• Interpret model outputs, experimental results, response curves, channel contribution, incremental impact, and return on investment.
• Translate complex analytical findings into clear recommendations for marketing, analytics, finance, agency, and executive stakeholders.
• Advise customers on media allocation, budget optimization, campaign effectiveness, customer acquisition, and incremental growth.
• Help customers incorporate measurement findings into planning, forecasting, budgeting, and media-buying processes.
• Develop measurement playbooks, executive summaries, experiment guides, ROI frameworks, and best-practice materials.
• Contribute to webinars, workshops, customer education, and industry thought leadership.

• Four or more years of experience in marketing measurement, marketing analytics, marketing science, media strategy, experimentation, econometrics, analytics consulting, or a related field.
• Practical knowledge of Marketing Mix Modeling, incrementality testing, attribution, lift testing, experimentation, and campaign analytics.
• Experience working with paid media channels and marketing performance metrics.
• Experience translating analytical findings into business recommendations and presenting them to senior stakeholders.
• Experience managing multiple analytical projects, stakeholders, and workstreams.
• Experience in martech, adtech, SaaS, consulting, media, analytics, or measurement-focused organizations.

• Strong understanding of marketing measurement, media effectiveness, ROI, customer acquisition, and budget optimization.
• Ability to select appropriate measurement methodologies for different business questions.
• Strong analytical interpretation, storytelling, presentation, and stakeholder-management skills.
• Ability to simplify technical and statistical concepts for non-technical audiences.
• Strong written and verbal communication skills in English.

• Experience with causal inference, experimentation, MMM, attribution, or decision-intelligence platforms.
• Understanding of regression, confidence intervals, statistical significance, response curves, saturation, and marginal returns.
• Experience with Excel, SQL, Python, R, Tableau, Power BI, or similar analytical tools.
• Experience working across European markets or additional European language capabilities.

• Quality and relevance of measurement strategies and recommendations.
• Timely delivery of measurement plans, experiments, and analytical insights.
• Adoption of measurement findings in budgeting, planning, and media decisions.
• Improved understanding of incremental marketing impact and channel effectiveness.
• Contribution to Lifesight’s measurement methodologies, capabilities, and thought leadership.