Senior Manager, Analytics Job ID 2026-1888

Internet Brands•El Segundo, CA

8d•Onsite

About The Position

Internet Brands/WebMD is seeking a Senior Data Analytics Manager to join its Los Angeles-based headquarters and serve as the lead Strategic Analytics Partner for its programmatic advertising business. The role turns high-velocity data into actionable revenue strategies, extending beyond traditional reporting to automated insights and data storytelling. The successful candidate will translate complex datasets into clear business narratives, apply data engineering principles, build high-fidelity dashboards, improve operational efficiency, and mentor a team in a fast-paced Agile environment.

Requirements

At least 7 years in a hands-on analytical role, with a track record of solving complex business problems.
At least 4 years of direct management experience.
Proven ability to explain technical data in plain English to non-technical stakeholders and executive leadership.
At least 5 years of SQL experience and expert-level ability to write complex, performant queries for data extraction, transformation, and modeling.
At least 4 years of BI visualization experience, with advanced proficiency in Tableau or similar tools such as Power BI or Looker and a focus on executive-dashboard UX/UI best practices.
Experience with Google Analytics 4 (GA4) or Adobe Analytics.
Advanced Excel or Google Sheets skills, including complex modeling and Power Query, and a deep understanding of modern data warehousing concepts.
Excellent business acumen and product sense, with the ability to prioritize a roadmap based on ROI and business impact.

Responsibilities

Deliver executive-level summaries and “Next-Best-Action” recommendations to business owners and stakeholders.
Design and oversee robust, self-service Tableau or Power BI visualizations for real-time benchmarking and trend analysis.
Manage and develop a team of analysts, fostering technical excellence and business curiosity.
Analyze web traffic, email, and app engagement to measure program efficacy, including LTV modeling, retention cohorts, and complex A/B/n testing.
Prototype and deploy AI agents to automate routine diagnostic tasks, such as anomaly detection in programmatic bid streams and automated performance narratives.
Partner with Agile Engineering and Data Platforms teams to optimize data schemas, maintain data integrity, and support evolving analytic needs.