Position Details
About this role
This role leads the Marketing Science Engagement team, providing analytics and measurement expertise to support pre-campaign audience targeting and holistic campaign performance. You will manage reporting and measurement projects end-to-end, mentor analysts, and translate data into actionable recommendations for client success and media teams.
Key Responsibilities
- Manage end-to-end Reporting & Measurement projects
- Ensure incrementality, attribution, and ROI analysis methodologies align with standards
- Lead and mentor analysts; set priorities and review deliverables for quality
- Own end-to-end analytics process across campaign lifecycle including data QA
- Serve as measurement subject-matter expert in client meetings and present actionable insights
Technical Overview
The technical scope includes A/B testing, experimental design, regression modeling, and causal inference, with methodology alignment across incrementality, attribution, and ROI analysis. The work uses SQL, Excel, Python or R, and BI tools such as Tableau, Looker, or Power BI, along with rigorous data QA during the campaign lifecycle.
Ideal Candidate
The ideal candidate is a lead-level analytics professional skilled in marketing science measurement, with strong experience in incrementality, attribution, and ROI analysis. They are proficient in SQL, Excel, and at least one of Python or R, and they can lead analyst teams while delivering client-ready A/B testing, regression modeling, and causal inference insights.
Must-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Proficiency in A/B testing, experimental design, regression modeling, and causal inference, Strong SQL and Excel skills, Proficiency in Python or R, Experience with BI tools such as Tableau, Looker, or Power BI, Ability to lead and mentor analysts with responsibility for deliverable quality and client readiness
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