Manager, Client Analytics
Ort: New York, New York · Bereich: Data, AI & Analytics · Level: Mid-Level · USD120,000 – USD135,000 / yearly · Veröffentlicht: 26. Oktober 2026 · Geprüft: 13. Nov. 2026
Rollenübersicht & Beschreibung
Team-Wachstum & Marktbewegung von DeepIntent beobachten
Polaris7 aggregiert offene Vakanzen, strategische Marktbewegungen und M&A-Signale in Echtzeit. Erhalte automatische Signal-Briefings zu DeepIntent und vergleiche das Ökosystem mit direkten Wettbewerbern.
DeepIntent
deepintent.comEine auf das Gesundheitswesen spezialisierte DSP und Marketing-Cloud für pharmazeutische Werbung.
Vollständiges Unternehmensprofil, Wettbewerber & Marktsignale zu DeepIntent freischalten
Ähnliche Positionen im DACH-Ökosystem
Verwandte Rollen und Profile aus dem AdTech-, Media- und Datenmarkt
This Analytics Manager role focuses on media effectiveness measurement and campaign analysis for a leading global advertiser (JLR). The manager develops and deploys media measurement solutions, leads campaign reviews, and designs experiments to optimize performance, acting as a strategic partner to client stakeholders and managing relationships with data engineering teams.
This role leads analytics initiatives for global clients, providing insights and recommendations to drive business growth. The manager will oversee a team of analysts and ensure delivery of high-quality data analysis and reporting.
This Analytics Manager role supports a leading advertiser (JLR) within the Data, Tech, and Analytics team, focusing on media effectiveness measurement and campaign analysis. The manager develops and deploys media measurement solutions, leads campaign reviews, and builds trusted client relationships, requiring strong statistical knowledge, proficiency in SQL and R/Python, and experience with brand and conversion lift studies.
This role leads media effectiveness measurement and campaign analysis for global clients, particularly JLR. The manager develops and deploys measurement solutions, designs experiments, and provides actionable insights to improve marketing performance. Requires strong statistical knowledge, proficiency in SQL and R/Python, and experience with brand and conversion lift studies.
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