MRM Health is looking for a Senior Analyst, Omnichannel Data & Analytics to join our Marketing Science team (data transformation, data strategy, performance and analytics) within a healthcare-focused marketing agency, so familiarity with healthcare and pharmaceutical marketing is highly valuable.
This role sits at the intersection of data analytics, audience science, marketing technology, and strategy, supporting clients in building and activating more connected, data-driven omnichannel experiences.
The ideal candidate combines strong analytical and BI capabilities with a solid understanding of how data moves across a modern marketing ecosystem — from ingestion and identity resolution within a CDP to audience creation, activation across media and CRM channels, and performance measurement.
This is not a purely technical or reporting-focused role. We are looking for someone who can connect data, technology, activation, and business objectives, translating complex datasets and platforms into actionable insights and strategic recommendations for our clients.
The successful candidate should understand — or be able to quickly develop an understanding of — the specific challenges associated with healthcare data and omnichannel marketing, including:
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HCP and consumer/patient audiences
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Healthcare-specific identifiers and data sources
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Privacy, consent, and regulatory considerations
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HCP engagement and prescribing journeys
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Paid and non-personal promotion channels
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First-party and third-party healthcare data
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Measurement challenges within regulated environments
This role will work within an evolving modern marketing and data ecosystem that includes:
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Salesforce Data Cloud – CDP, identity resolution, unified profiles, segmentation, and audience activation
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Salesforce Marketing Cloud – CRM, marketing automation, personalization
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Google Analytics 4 – digital behavioral analytics and measurement
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Databricks – advanced analytics, data intelligence, and AI
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The Trade Desk and other media platforms – audience activation and media measurement
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BI and data visualization tools – Looker, Tableau, PowerBI
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SQL and analytical/modeling/data manipulation environments including Python