Senior Marketing Experimentation Specialist

Be among the first 25 applicants within 4 days. This range is provided by Harvey Nash. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Details available upon application. Job Description Experiment Design & Strategy – Develop robust test plans (A/B, multivariate, geo-tests, incrementality studies, lift tests) to evaluate media tactics, creative, audience segments, and bidding strategies. Execution & Optimization – Collaborate with channel managers (social, search, display, video, programmatic) to implement tests, ensure flawless QA, and proactively adjust tactics based on early performance indicators. Data Analysis & Insights – Synthesize results into clear business narratives, translating statistical findings into actionable recommendations for budget allocation and campaign strategy. Innovation & Learning Agenda – Maintain a prioritized testing roadmap to explore emerging platforms, AI/ML bidding, value-based strategies, and automation opportunities. Cross-Functional Collaboration – Partner with analytics, strategy, and planning teams to ensure test designs align with business goals and measurement frameworks. Knowledge Sharing – Create best-practice documentation and present learnings to leadership, influencing future investment and audience strategy. Basic Qualifications Experience: 3+ years in paid media, digital marketing, or growth experimentation (agency, in-house, or platform). Technical Skills: Strong understanding of testing methodologies (incrementality, causal inference, geo-split), platform reporting (Meta, Google, TikTok, YouTube, DSPs), and analytics tools (GA, SQL, Excel/Sheets). Analytical Mindset: Comfortable with statistical significance, confidence intervals, and interpreting complex data sets. Communication: Exceptional ability to distill technical concepts into concise, executive-ready insights. Collaboration: Proven track record working across teams to execute high-impact tests at scale. Preferred Qualifications Establishing an iterative testing framework that accelerates media learning. Delivering clear, data-backed insights that improve efficiency and ROI across channels. Driving adoption of AI/automation in paid media strategies through well-designed experiments. Required Education Bachelor's Degree or equivalent. Seniority Level Associate Employment Type Contract Job Function Marketing, Advertising, and Art/Creative Industries Entertainment Providers IT Services and IT Consulting Benefits Medical insurance Referrals increase your chances of interviewing at Harvey Nash by 2x. #J-18808-Ljbffr