Sr. Data & Insights Manager

About the role

The Sr. Data & Insights Manager will lead high-impact analytics initiatives and manage key data models supporting theSkimm, Everyday Health, and other flagship umbrella properties within the Everyday Health Consumer portfolio. In this role, you will explore complex datasets, build executive performance dashboards, and deliver clear, actionable insights that directly influence content strategy, product development, and revenue generation. The role requires a curious, proactive, and meticulous analyst with exceptional quantitative skills and a talent for framing data as compelling strategic narratives. Working within a data-centric organization, this individual will work with data experts across BI, Product, Engineering, and Consumer Research to support our mission: inspiring and enabling people to live their healthiest lives every day. This role also offers the opportunity to mentor and guide junior analysts across the team.

Responsibilities

• Serve as the primary analytical partner to the Marketing, Content, and Product teams, embedding data-driven insights into campaign planning, editorial planning, and execution workflows.
• Ownership of Sigma BI Tool for all company reporting.
• Build and maintain executive-level dashboards that track core marketing KPIs.
• Act as the subject matter expert for data structures, ensuring consistent tracking, definition, and usage of metrics across the marketing organization.
• Partner with Data Engineering to define data requirements and ensure data integrity across multi-brand user bases. Consult on warehouse set-up and performance for data quality.
• Create and own downstream models using DBT or similar.
• Evaluate, adopt, and integrate AI-assisted analytics tools and generative AI workflows to automate routine queries, accelerate data exploration, and optimize team reporting pipelines.
• Conduct complex quantitative and qualitative analyses on performance data to identify root causes, trends, and high-value growth drivers.
• Support long-term marketing forecasting, budget allocation planning, and predictive modeling initiatives alongside BI and leadership teams.
• Partner with cross-functional teams to define and prioritize high-impact testing hypotheses, analyze experiment results, and synthesize learnings into documented best practices.
• Translate granular data into compelling narrative presentations for executive leadership, framing technical findings around concrete business opportunities.

Requirements

You have 7+ years of quantitative analysis experience, preferably within a digital media, publishing, or subscription-based digital business.