Overview
In this role you will guide high-impact analytics across Everyday Health’s consumer brands, turning complex data into actionable insights for content, product, and revenue strategy. You’ll partner with Marketing, Content, Product, and Engineering to embed data-driven decision-making in campaigns, editorial, and roadmaps. You will own core dashboards and data models, ensure data integrity across multi-brand audiences, and explore AI-assisted analytics to streamline reporting. This position combines hands-on analytics with mentorship, shaping data storytelling for executive audiences and cross-functional teams. You’ll work in a collaborative, data-centric culture focused on healthier lives and
Pay / Benefits
- Comprehensive medical, dental, and vision coverage
- Flexible Spending Accounts
- 401(k) with company match
- Employee Stock Purchase Plan
- Flexible Time Off and paid holidays
- Parental leave and family support
Responsibilities
- Partner with Marketing, Content, and Product teams to embed data-driven insights into planning and execution workflows
- Own Sigma BI Tool for company reporting and build executive dashboards tracking core marketing KPIs
- Serve as the data structures SME to standardize metrics across marketing
- Collaborate with Data Engineering to define data requirements and ensure data quality across multi-brand user bases
- Consult on warehouse setup and performance for data quality; create and own downstream models using DBT
- Evaluate and integrate AI-assisted analytics tools and generative AI workflows to automate routine queries and accelerate exploration
- Conduct complex quantitative and qualitative analyses to identify root causes, trends, and growth drivers
- Support long-term marketing forecasting, budget allocation, and predictive modeling with BI and leadership teams
- Collaborate with cross-functional teams to define testing hypotheses and synthesize learnings into best practices
- Translate granular data into executive-ready narratives highlighting business opportunities
Key requirements
- 7+ years of quantitative analysis experience in digital media, publishing, or subscription-based business
- Advanced SQL proficiency with complex queries, window functions, and transformations
- Expert BI tool experience (Sigma, Domo, Looker)
- Experience with web/newsletter analytics (GA4, Sailthru)
- Proficiency in Python or R for stats and automation; experience with predictive modeling or AI/ML libraries
- Experience querying Snowflake and BigQuery or similar data warehouses
- Strong knowledge of digital marketing and media metrics (CPA, LTV, ROI, funnel metrics, email metrics, web traffic patterns)
- Proven ability to distill analyses into executive summaries and strategic recommendations
- Cross-functional collaboration and mentorship experience with engineering teams and junior staff
- Collaborative mindset
- Strong communication skills
- Mentorship and leadership
- SQL (advanced)
- Sigma BI Tool, Domo, Looker (BI visualization)
- GA4, Sailthru (ESP analytics)
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