Data Analytics & Insights Manager
New
Candidates must be located in the United States, EST or CST time zonesFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLMicrosoft Power BIMicrosoft Excel
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).
- Advanced Excel proficiency.
- 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.
- Proficiency in SQL (Preferred).
- Experience with regression analysis, marketing mix modeling (MMM), or multi-touch attribution (MTA) (Preferred).
- Customer value modeling experience (Preferred).
- B2B and B2C ecommerce experience (Preferred).
- CTV/OTT measurement experience (Preferred).
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.
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