Live opening · Posted 7 days ago

Sr. Data & Insights Manager

Everyday Health - Consumer · New York, New York
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyEveryday Health - Consumer
LocationNew York, New York
SkillsPython
SourceJobvite
ListedPosted 7 days ago

About the role

Description supplied by the original job listing.

The Opportunity
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.
Key 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.
Job Qualifications
Experience: You have 7+ years of quantitative analysis experience, preferably within a digital media, publishing, or subscription-based digital business.
Technical Stack:
SQL: Advanced proficiency writing complex queries, window functions, and data transformations.
Data visualization: Expert-level experience with BI tools (Sigma, Domo, Looker).
Analytics Platforms: Heavy experience with web/newsletter analytics (Google Analytics 4, Sailthru, or similar ESP analytics).
Languages & Applied AI: Proficiency in Python or R for statistical analysis and automation. Hands-on experience applying predictive modeling, classification algorithms, or AI/ML libraries to address business challenges like churn risk, LTV projection, or content recommendations.
Data Warehouse: Experience querying Snowflake and BigQuery (or similar).
Domain Knowledge: Advanced mastery of digital marketing and media metrics, including CPA, LTV, ROI, conversion funnel dynamics, email metrics (open, click, deliverability), and web traffic acquisition patterns.
Communication: Proven ability to distill complex analytical findings into crisp executive summaries and strategic recommendations.
Leadership & Collaboration: A cross-functional team player with strong project management skills, a keen eye for detail, extensive engineering partnership experience, and a proactive approach to problem-solving. Experience guiding or mentoring junior team members in a fast-paced environment.
Life at Everyday Health
At Everyday Health Group, the Health & Wellness division of Ziff Davis, we work in a culture of collaboration and welcome those who desire to join our growing global community. We believe in careers versus jobs and people versus employees. We seek enthusiastic individuals with an entrepreneurial spirit looking for an environment that rewards your best work.
Everyday Health offers competitive salaries in addition to robust, health and wellness-focused benefits, including comprehensive medical, dental and vision coverage, as well as life and disability benefits. Our employees enjoy Flexible Spending Accounts (FSAs), a 401(k) with company match, and an Employee Stock Purchase Plan. We are committed to work-life balance with Flexible Time Off, Volunteer Time Off and paid holidays. We offer family building and caregiving support and generous Family Care and Parental leave, when you need it. We also provide Fitness Reimbursement and access to wellness programs, ensuring our team stays healthy both physically and mentally.
Our Culture and Values
We created our values together to guide our collective purpose and pursuits. We are collaborators and problem solvers. We empower one another to make informed decisions and to be enabled towards action. We embrace success. We recognize that innovation can spark and be born from any of us no matter our individual role or background. We encourage open mindedness and sensitivity to each other and our environment. Our personal and professional passions get ignited, nurtured and supported. We value that doing is greater than talking as the most measurable means of impact. Our collective purpose to deliver enlightened audience experiences with trusted brands is what drives the success of our business and our professional satisfaction.
About Ziff Davis

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