Engagement Manager - Analytics (Media & Publishing)

Engagement Manager Digital Analytics

Why this role matters
Join our Digital News & Media Analytics practice as the strategic lead steering analytics platforms, tagging frameworks, and insight delivery. Partner with Newsroom, Marketing, Commerce, D2C Product, and Audience-Development teams to shape strategy, guide product roadmaps, and accelerate reader growth and revenue. Inside our Digital Experience Lab, you'll turn behavioral and commerce data into smarter acquisition, retention, engagement, and monetization decisions.

Key Responsibilities

• Craft and roll out the analytics vision for D2C products and campaigns, always tied to subscriber-growth and new-reader goals.
• Coach and mentor a small squad of Product Analysts and Implementation Engineers, elevating their craft and careers.
• Liaise with stakeholders to capture business questions and recommend best-in-class data solutions.
• Translating business asks into clear analytics work-packages for the team.
• Champion data-storytelling that nudges Product, Marketing, Engineering, and Design toward reader-centric decisions.
• Oversee solution delivery end-to-end-from research and design through build, test, and launch.
• Set and monitor KPIs, sharing insights with both day-to-day operators and senior leaders.
• Pioneer new frameworks, data-science approaches, and predictive models to deepen journey understanding and personalization at scale.

Qualifications & Skills

• Bachelor's in data science, Computer Science, Statistics, Business Analytics, or related (Master's a plus).
• 6 + years in a digital newsroom, publisher, or online-media environment-ideally with acquisition or subscription exposure.
• 4 + years in analytics / data-science roles (product or marketing analytics preferred).
• 3 + years guiding or formally mentoring analytics professionals.
• Deep expertise in product growth, user-behavior analysis, and project leadership.
• Broad command of digital measurement & experimentation (Adobe, GA, WordPress, Parse.ly; A/B & multivariate testing).
• Proven ability to design data-collection frameworks and measurement plans.
• Solid grasp of media channels (Display, SEM/SEO, Paid & Organic Social).
• Demonstrated success extracting insight from clickstream / web-traffic data.
• Working knowledge of statistics, experimental design, and causal inference.
• Confident SQL author plus fluency in BI / visualization tools (Tableau, Power BI, Looker, Adobe Analytics).
• Experience with cloud data warehouses (BigQuery, Redshift, Snowflake) and Customer Data Platforms.
• Familiarity with AdTech stacks (DMPs, DSPs, SSPs, ad servers, first-party data tools) and prevailing digital-media trends.
• Clear, persuasive communicator who turns complex analysis into crisp, actionable stories; meticulous, organized, and deadline driven.