Manager, Marketing Effectiveness
New
J
JobgetherMarketing Analytics
Based in the United StatesFull-TimeManager
Salary68,000 - 105,000 USD per year
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Job Details
- Experience
- 4–6+ years
- Required Skills
- Microsoft Power BITableauData engineeringMicrosoft ExcelData management
Requirements
- Bachelor’s degree in Statistics, Economics, Data Science, or a related quantitative field, or equivalent relevant experience.
- 4–6+ years of experience in data engineering, data management, or analytics engineering in complex environments.
- Proven experience owning data quality, QA processes, taxonomy governance, and data validation frameworks.
- Strong background working with large, multi-source datasets within the media, advertising, or marketing ecosystem.
- High proficiency in data visualization and reporting tools including Excel, Tableau, and Power BI.
- Hands-on experience integrating disparate data sources into unified dashboards.
- Experience developing, managing, and troubleshooting API endpoints and data connectors.
- Experience supporting marketing mix modeling (MMM) data workstreams.
- Ability to work autonomously with complex datasets under limited management oversight.
- Strong client-facing skills to assess feasibility and manage expectations.
- Excellent critical thinking, project management, and analytical skills.
Responsibilities
- Own data quality, QA processes, and taxonomy governance across marketing measurement and reporting workstreams.
- Lead the transition from recurring reports to a dashboard-first environment using Power BI.
- Manage, integrate, and maintain multi-source datasets spanning paid media, owned channels, and third-party sources.
- Develop and manage data integrations, connectors, and API endpoints for internal and external systems.
- Partner with measurement, analytics, and account teams to align data infrastructure with measurement plans.
- Support marketing mix modeling (MMM) data workstreams by preparing and validating high-quality datasets.
- Act as the trusted data lead in client interactions, evaluating technical feasibility and communicating project risks.
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