Data Analyst, Pharma, Health and Wellness Media (Remote)
Apply NowLocation:
Fort Washington, PA, US
Company:
M3 USA is at the forefront of healthcare innovation, offering digital solutions across healthcare, life sciences, pharmaceuticals, and more.
Summary:
The Data Analyst will analyze user behavior and performance metrics to influence marketing strategies and product development. A bachelor's degree in a related field and 1–2 years of experience in data analytics are required.
Requirements:
Technology: Segment, Iterable, Tableau
Hard Skills: 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, 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
Credentials: Bachelor’s degree in Data Science, Computer Science, Statistics, or a related technical field (or equivalent experience)
Experience: 1–2+ years in data analytics, business intelligence, or a related field (internships or co-ops may count)
Job Description:
The Data Analyst will will turn behavioral data, campaign performance metrics, and engagement signals into actionable insights that drive marketing strategy, audience growth, and product innovation. You will collaborate closely with product, marketing, data science, and client services teams to support decision-making with accurate, timely, and meaningful analysis.
Key Responsibilities:
(Including but not limited to)
- 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.
