9 Months+ Contract
New York, NY (Hybrid)
Must haves
Must understand how paid marketing works.
Experience with Consumer Software
Must have a deep analytical skill set - Team manages experimentation plans (combination of analytics and marketing)
Technical skills
Experience with paid social partners
SQL is a plus but not required.
Someone that has lifecycle marketing background is transferrable.
This role will be focused on engagement and retention.
Must know paid media and testing. This role is supporting paid media
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.
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.
#J-18808-Ljbffr
Must understand how paid marketing works.
Experience with Consumer Software
Must have a deep analytical skill set - Team manages experimentation plans (combination of analytics and marketing)
Technical skills
Experience with paid social partners
SQL is a plus but not required.
Someone that has lifecycle marketing background is transferrable.
This role will be focused on engagement and retention.
Must know paid media and testing. This role is supporting paid media
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.
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.
#J-18808-Ljbffr