Underscore Marketing
Data Analyst
Remote-United States
Sponsorship not specifiedDetected 22 days ago
Data StructuresSQLMachine LearningData AnalysisData ScienceData VisualizationStatisticsCRMEHR/EMRLeadership
About the role
- This role requires strong technical analytics skills, rigorous statistical thinking, and the ability to communicate findings in a simple, compelling way to both technical and non-technical stakeholders within the company.
- The ideal candidate is articulate, collaborative, detail-oriented, and comfortable working with imperfect data and complex data structures to enable advanced analysis, including AI and machine learning applications.
Responsibilities
- Perform extensive SQL-based data transformations, integrating data from multiple internal and external sources (e.g., claims, media, CRM, EHR-derived datasets).
- Define, validate, and govern metrics aligned to pharmaceutical business questions (e.g., brand performance, HCP engagement, patient journeys).
- Maintain and iterate on analytical datasets and workflows as new data is ingested.
- Develop data visualizations and dashboards that clearly communicate insights and support decision-making.
- Collaborate cross-functionally with data science, technology, media, strategy, and client-facing teams to align analyses with business needs.
- Document methodologies, assumptions, and data limitations to support transparency and reproducibility.
Requirements
- Bachelor's degree in Analytics, Statistics, Mathematics, Data Science, Economics, or a related field.
Benefits
- Conduct thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets.
- Prepare datasets to support advanced analytics, including exploratory and explanatory machine learning techniques, ensuring accuracy, consistency, and scalability.
Company info
- up to 10% domestic travel each year for company events and socials
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This listing is sourced directly from Underscore Marketing's careers page and normalized into a canonical job model.