Senior Analyst, Data Strategy (Remote)
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Senior Analyst, Data Strategy
Team: Media
Location: Remote (US), New York, NY
Commitment: Permanent/full-time
Workplace Type: remote
About the role:
The Senior Data Strategy Analyst supports the development and execution of media reporting and measurement initiatives across client accounts. Reporting to the Manager, Data Strategy, this role is responsible for analyzing marketing performance data, developing insight-driven reporting deliverables, and contributing to measurement frameworks that align with client business objectives.
This position requires a strong understanding of cross-channel media performance (digital and traditional), a developing advanced analytical capability, strategic mindset, and the ability to independently manage reporting workstreams while collaborating effectively across internal teams.
What youll do:
- Develop and deliver recurring and ad hoc reporting with accuracy, clarity, and alignment to client KPIs.
- Translate performance data into clear insights and optimization recommendations.
- Support the development and refinement of measurement frameworks.
- Partner with Strategy, Media, Client Services, Data Engineering, and Data Science teams to ensure data integrity and actionable reporting outputs.
- Contribute to Tableau dashboard builds and reporting automation initiatives.
- Assist in integrating advanced analytics outputs (e.g., attribution, incrementality, MMM) into client reporting.
- Identify performance trends, risks, and opportunities within campaign data.
- Ensure timely delivery of reporting outputs and proactively communicate risks or blockers.
About you:
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2–3 years of experience in marketing or media analytics, including experience analyzing pharmaceutical marketing campaigns.
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Strong understanding of digital and traditional media performance metrics.
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Proficiency in Google Analytics and Tableau.
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Familiarity with pharmaceutical marketing measurement tools, such as Crossix, and the ability to interpret their outputs for client reporting and recommendations.
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Working knowledge of tagging systems and campaign performance datasets.
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Proficiency in Excel and PowerPoint (or Google equivalents).
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Strong analytical, problem-solving, and communication skills.
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Ability to translate complex data into insights for non-technical audiences.
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Organized and able to manage multiple deliverables across timelines.
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