Sr. Data & Insights Manager

Everyday Health - Consumer•New York, NY

55d•$100,000 - $150,000

About The Position

The Sr. Data & Insights Manager leads high-impact analytics initiatives and manages key data models for theSkimm, Everyday Health, and other flagship brands in the Everyday Health Consumer portfolio. The role explores complex datasets, builds executive performance dashboards, and delivers actionable insights that inform content strategy, product development, and revenue generation. It partners with experts across BI, Product, Engineering, Consumer Research, Marketing, and Content, and offers opportunities to mentor junior analysts.

Requirements

At least 7 years of quantitative analysis experience.
Advanced proficiency in SQL, including complex queries, window functions, and data transformations.
Expert-level experience with data visualization and BI tools such as Sigma, Domo, or Looker.
Extensive experience with web and newsletter analytics, such as 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 to business challenges such as churn risk, LTV projection, or content recommendations.
Experience querying Snowflake and BigQuery, or similar data warehouses.
Advanced mastery of digital marketing and media metrics, including CPA, LTV, ROI, conversion funnels, email metrics, and web traffic acquisition patterns.
Ability to distill complex analytical findings into concise executive summaries and strategic recommendations.
Strong project management skills, attention to detail, engineering partnership experience, and a proactive problem-solving approach.
Experience guiding or mentoring junior team members in a fast-paced environment.

Nice To Haves

Experience in digital media, publishing, or a subscription-based digital business.

Responsibilities

Serve as the primary analytical partner to Marketing, Content, and Product, embedding data-driven insights into campaign planning, editorial planning, and execution workflows.
Own the Sigma BI tool for company reporting and build and maintain executive-level dashboards tracking core marketing KPIs.
Act as the subject matter expert for data structures and ensure 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 setup and performance for data quality; and create and own downstream models using DBT or similar tools.
Evaluate, adopt, and integrate AI-assisted analytics tools and generative AI workflows to automate routine queries, accelerate data exploration, and optimize reporting pipelines.
Conduct quantitative and qualitative analyses of performance data to identify root causes, trends, and high-value growth drivers.
Support long-term marketing forecasting, budget allocation planning, and predictive modeling initiatives with BI and leadership teams.
Partner with cross-functional teams to define and prioritize testing hypotheses, analyze experiment results, and document learnings as best practices.
Translate granular data into narrative presentations for executive leadership, framing technical findings around business opportunities.
Mentor and guide junior analysts across the team.