Full-Time Data Analyst, Pharma, Health and Wellness Media (Remote)

• Analyze user behavior data to understand how physicians engage across content types, campaigns, and channels.
• Develop and maintain dashboards and reports that monitor KPIs related to audience engagement, campaign performance, and lead generation, across endemic and commercial audiences.
• Perform deep-dive analysis into campaign effectiveness, user segmentation, and conversion trends.
• Support A/B testing initiatives by analyzing results, identifying insights, and recommending optimizations.
• Assist in building behavioral models and attribution frameworks alongside the data science team.
• Collaborate with stakeholders (marketing, product, client services) to define metrics, interpret findings, and support strategic decisions.
• Support data integrity and alignment across martech platforms.
• Present findings to non-technical audiences in a clear, concise and visual manner.
• Identify and prioritize opportunities to improve data quality and analytics processes.

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related technical field (or equivalent experience)
• 1–2+ years in data analytics, business intelligence, or a related field (internships or co-ops may count).
• Proficiency in SQL and familiarity with data warehousing (Snowflake preferred).
• Experience with Python for data manipulation and analysis.
• Basic understanding of dbt for data transformations.
• Exposure to Segment, Iterable, or similar marketing platforms a plus.
• Proficiency in BI/visualization tools (Tableau preferred).
• Basic understanding of web technologies and web analytics.
• Understanding of healthcare marketing concepts or prior exposure to the healthcare industry is highly desirable.
• Knowledge of digital marketing channels (email, social media, web analytics) is beneficial.
• Strong communication skills—capable of explaining technical concepts to non-technical audiences.
• Attention to detail and sense of ownership for delivering accurate, high-quality outputs.
• Creativity, intellectual curiosity, and empathy in problem-solving and data storytelling.
• Adaptability, flexibility, and a bias for action in a fast-paced environment.
• Excellent time management skills to meet tight deadlines and shifting priorities

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