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Salary: USD 100,000 - 150,000 / annual
TheSkimm, part of Everyday Health Group (Ziff Davis), is seeking a Senior Data & Insights Manager to lead high-impact analytics initiatives across theSkimm, Everyday Health, and other flagship properties within the Everyday Health Consumer portfolio. This role sits at the intersection of data strategy and business impact, requiring someone who can explore complex datasets, build executive dashboards, and translate findings into compelling strategic narratives that directly influence content strategy, product development, and revenue generation.
You will serve as the primary analytical partner to Marketing, Content, and Product teams, embedding data-driven insights into campaign planning, editorial workflows, and execution. Key responsibilities include owning the Sigma BI tool for company reporting, building and maintaining executive-level dashboards tracking core marketing KPIs, and acting as the subject matter expert for data structures and metric definitions across the marketing organization.
You will partner with Data Engineering to define data requirements and ensure data integrity across multi-brand user bases, consult on warehouse setup and performance optimization, and create downstream models using DBT or similar tools. The role also involves evaluating and integrating AI-assisted analytics tools and generative AI workflows to automate routine queries and accelerate data exploration.
Analytical work includes conducting complex quantitative and qualitative analyses to identify root causes and growth drivers, supporting long-term marketing forecasting and predictive modeling, and partnering with cross-functional teams to define testing hypotheses and synthesize experiment learnings. You will translate granular data into compelling narrative presentations for executive leadership, framing technical findings around concrete business opportunities.
This role offers the opportunity to mentor and guide junior analysts across the team, fostering a data-centric culture within a fast-paced, collaborative environment.
REQUIREMENTS:
- 7+ years of quantitative analysis experience, preferably in digital media, publishing, or subscription-based digital business
- Advanced SQL proficiency: complex queries, window functions, data transformations
- Expert-level experience with BI tools (Sigma, Domo, Looker)
- Heavy experience with web/newsletter analytics (Google Analytics 4, Sailthru, or similar ESP analytics)
- Proficiency in Python or R for statistical analysis and automation
- Hands-on experience applying predictive modeling, classification algorithms, or AI/ML libraries (churn risk, LTV projection, content recommendations)
- Experience querying Snowflake and BigQuery or similar data warehouses
- Advanced mastery of digital marketing and media metrics: CPA, LTV, ROI, conversion funnel dynamics, email metrics (open, click, deliverability), web traffic acquisition patterns
- Proven ability to distill complex analytical findings into executive summaries and strategic recommendations
- Cross-functional team player with strong project management skills, attention to detail, extensive engineering partnership experience, and proactive problem-solving approach
- Experience guiding or mentoring junior team members in a fast-paced environment
