Data Analytics & Insights Manager

Amsive•New York, NY

1d•Remote

About The Position

The Data Analytics & Insights Manager serves as the strategic measurement and analytics lead across Amsive’s portfolio of performance media accounts. This role bridges the gap between data infrastructure and actionable marketing strategy, guiding clients through customer value modeling, incrementality testing, and advanced measurement methodologies that directly influence multi-million-dollar media investment decisions. The ideal candidate is a highly analytical and statistically rigorous leader who can independently design, execute, and validate marketing experiments while translating complex insights into clear, executive-ready recommendations. This individual will partner closely with media specialists, data engineering teams, and client stakeholders to scale and standardize our incrementality and measurement practice across the agency.

Requirements

5+ years of experience in marketing media analytics, marketing science, or performance measurement.
Deep understanding of experimental design for marketing and statistical validation methodologies.
Strong statistical proficiency, including power analysis and test design validation.
Experience generating actionable insights that influence media investment decisions.
Proficiency in Power BI (including DAX) and advanced Excel.
Strong understanding of full-funnel paid media measurement and attribution.
Experience implementing and troubleshooting tracking and attribution methodologies.
Ability to clearly communicate complex technical findings to executive-level stakeholders.

Nice To Haves

Proficiency in SQL.
Experience with regression analysis, marketing mix modeling (MMM), or multi-touch attribution (MTA).
Customer value modeling experience.
B2B and B2C ecommerce experience.
CTV/OTT measurement experience.

Responsibilities

Design and execute statistically rigorous marketing experiments, including geo-based holdout tests, difference-in-differences frameworks, and cross-channel incrementality studies.
Build test frameworks from scratch, including market matching, parallel trends validation, power analysis, and minimum detectable effect modeling.
Develop and document standardized, reusable testing methodologies for internal adoption and client pitches.
Establish statistical guardrails, sample size requirements, and validation protocols for CPA, impression, and geo-level experiments.
Audit and validate measurement work across the team to ensure accuracy and defensibility before client delivery.
Measure cross-channel halo effects (e.g., CTV impact on Meta/Google performance) using controlled experimental design.
Conduct headroom modeling, regression-based diminishing returns analysis, and spend optimization analyses.
Collaborate on attribution setups and troubleshoot tracking or implementation gaps.
Partner with data engineering and media teams to ensure measurement integrity and scalability.
Develop executive-facing deliverables and performance narratives for clients and new business pitches.
Drive client confidence, improve retention, and expand account scope through data-backed insights and proof of incremental value.