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Company Overview
A global biopharma company is leveraging AI, automation, and data-driven insights to transform healthcare delivery. The organization focuses on digital experiences for consumers and patients, delivering personalized and innovative solutions powered by advanced analytics. It is committed to improving lives through research, development, and scalable AI-driven solutions.
Summary
The DTC/P AA & AI, Data Analyst will support the digital consumer and patient experience by designing, operationalizing, and interpreting measurement and insights capabilities. This role involves collaborating with cross-functional teams to ensure data-driven decisions and AI-powered insights are activation-ready and aligned with business needs.
Responsibilities
Design, operationalize, and interpret measurement and insights capabilities of the DTC/P ecosystem, ensuring readiness for business use cases
Innovate cross-media intelligence measurement and reporting capabilities to support AI-mediated engagement across customer journeys
Assess impact of digital consumer/patient experience products and advise on measurement improvements
Collaborate with cross-functional teams to gather requirements and drive measurement strategies
Activate audiences to publisher platforms and ensure successful execution
Support agile pod development teams with segmentation, test & control, and final audience builds
Conduct data quality control testing and provide insights for various data feeds
Develop dashboards and visualizations to monitor performance indicators and digital media trends
Support ad hoc data requests and insights analysis for the Insights and Measurement Product Owner
Standardize digital product analytics with a focus on consumer/patient experience
Promote architectural consistency, define, and execute test cases
Work with stakeholders and system integrators to define KPIs, reporting, and dashboard designs
Create measurement and reporting processes and recommend optimizations based on performance
Qualifications
Bachelor’s degree required; Master’s preferred
Minimum 5+ years in data analytics, digital media analytics, or related roles
Experience in descriptive and predictive analytics
Proficiency in BI tools (Tableau, Power BI) and data visualization libraries (Python, R)
Strong SQL skills and experience building data models for analysis and reporting
Experience with segmentation, A/B testing, experimental design, and impact assessment
Knowledge of KPIs, hierarchies, and data relationships
Functional understanding of data consumption layers and measurement-ready datasets
Strong problem-solving skills and “get things done” mindset
Excellent cross-functional leadership, collaboration, and communication skills
Preferred: pharmaceutical experience, healthcare data privacy, media intelligence analytics, LiveRamp or equivalent Safe Haven experience, model-based audience creation, and Agile/DevOps familiarity
Disclaimer
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1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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