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Media Measurement and Performance Analyst
Ziff DavisAnalyst driving media measurement and performance analytics for Everyday Health. Collaborating with cross-functional teams to provide insights on campaigns and optimize performance metrics.
Posted 5/5/2026full-timeRemote • New York • 🇺🇸 United StatesJuniorMid-Level💰 $55,000 - $75,000 per yearWebsite
Tech Stack
Tools & technologiesSQLTableau
About the role
Key responsibilities & impact- Actively monitor daily and weekly performance across a diverse portfolio of pharma and CPG campaigns
- Synthesize data from third-party measurement partners and internal datasets to evaluate performance KPIs
- Transform raw data into compelling narratives and visualizations that demonstrate campaign ROI and health outcomes
- Act as a subject matter expert for the Sales team
- Partner with various internal teams to facilitate optimal performance and measurement setups
- Support Strategic Enablement and Performance Operations in streamlining reporting workflows
Requirements
What you’ll need- 2–4 years of experience in data analytics
- Demonstrated understanding of pharma-specific measurement solutions (Crossix, IQVIA, etc.)
- Proficiency in SQL for data extraction
- Experience with Excel (Pivot Tables, VLOOKUPs, Advanced Formulas)
- Experience with data visualization dashboards (such as Domo, Tableau, Looker, or Power BI)
- Bachelor’s degree in a quantitative field (Statistics, Economics, Mathematics, Social Sciences, Business Analytics) or equivalent experience
Benefits
Comp & perks- Comprehensive medical, dental and vision coverage
- Life and disability benefits
- Flexible Spending Accounts (FSAs)
- 401(k) with company match
- Employee Stock Purchase Plan
- Flexible Time Off
- Volunteer Time Off
- Paid holidays
- Family building and caregiving support
- Generous Family Care and Parental leave
- Fitness Reimbursement
- Access to wellness programs
ATS Keywords
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Hard Skills & Tools
data analyticsSQLExceldata visualizationPivot TablesVLOOKUPadvanced formulas
Soft Skills
communicationcollaborationproblem-solvingdata synthesis