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About the Role

Lead high-impact analytics initiatives and manage key data models supporting Everyday Health Consumer portfolio properties. Explore complex datasets, build executive performance dashboards, and deliver actionable insights to influence content strategy, product development, and revenue generation. This role requires a curious, proactive, and meticulous analyst with exceptional quantitative skills and the ability to frame data as compelling strategic narratives. You will collaborate with data experts across BI, Product, Engineering, and Consumer Research to support the mission of inspiring and enabling people to live their healthiest lives every day. The role also offers the opportunity to mentor and guide junior analysts.

Responsibilities

Serve as the primary analytical partner to Marketing, Content, and Product teams, embedding data-driven insights into campaign planning, editorial planning, and execution workflows.
Own Sigma BI Tool for all company reporting, building and maintaining 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

7+ years of quantitative analysis experience, preferably within a digital media, publishing, or subscription-based digital business.
Advanced proficiency in SQL writing complex queries, window functions, and 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 to address business challenges like churn risk, LTV projection, or content recommendations.
Experience querying Snowflake and BigQuery (or similar).
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.
Proven ability to distill complex analytical findings into crisp executive summaries and strategic recommendations.
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.

Skills

SQL
Data visualization
BI tools (Sigma, Domo, Looker)
Web/newsletter analytics (Google Analytics 4, Sailthru)
Python
R
Statistical analysis
Automation
Predictive modeling
Classification algorithms
AI/ML libraries
Snowflake
BigQuery
Digital marketing metrics
Media metrics
Project management
Executive communication

Location

NYC
Asheville
Boston
London, England
Mumbai, India

Work Type

Full-time

Experience Level

Senior
7+ years

Salary/Compensations

$100,000 to $150,000

Benefits

Comprehensive medical, dental and vision coverage
Life and disability benefits
Flexible Spending Accounts (FSAs)
401(k) with company match
Employee Stock Purchase Plan
Flexible Time Off
Volunteer Time Off
Paid holidays
Family building and caregiving support
Generous Family Care and Parental leave
Fitness Reimbursement
Access to wellness programs
Employee Resource Groups
Company-sponsored events
Professional growth opportunities
Educational support
Mentorship programs
Career development resources
Employee engagement programs
Recognition awards

About the Company

Everyday Health Group, the Health & Wellness division of Ziff Davis, operates with a culture of collaboration and welcomes those who desire to join a growing global community.
Ziff Davis (NASDAQ: ZD) is a vertically focused digital media and internet company with leading brands in technology, shopping, gaming and entertainment, health, cybersecurity, and martech.
Ziff Davis's brands include IGN, Mashable, RetailMeNot, PCMag, Humble Bundle, Spiceworks, Everyday Health, BabyCenter, Moz, iContact and Vipre Security.

Equal Opportunity

Ziff Davis is an Equal Opportunity Employer.
At Ziff Davis, Diversity, Equity and Inclusion has always been about fairness, equal opportunity and belonging, which enables us to attract and retain the best talent, regardless of background or circumstances, allowing our thousands of employees worldwide to thrive.