Data Analyst
Job Description: Data Analyst, Pharmaceutical Industry
Job Details : 90%remote position forUS FT Perm W2 employee
Travel Requirements: up to 10% domestic travel each year forcompany events and socials
Time Zone Preference: USEast Coast
Role Purpose:
The Data Analyst supports pharmaceutical brand, commercial (marketing), and analytics teams by playing a critical technical role connecting healthcare data to media to drive clear, actionable insights. 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.
Core Responsibilities:
- Perform extensive SQL-based data transformations , integrating data from multiple internal and external sources (e.g., claims, media, CRM, EHR-derived datasets).
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Define, validate, and govern metrics aligned to pharmaceutical business questions (e.g., brand performance, HCP engagement, patient journeys).
- Apply statistical reasoning to analyze trends, identify drivers of performance, and ensure analytical rigor in insights and recommendations.
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Maintain and iterate on analytical datasets and workflows as new data is ingested.
- Conduct thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets.
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Interpret and translate analytical findings into clear business insights , tailored for stakeholders across marketing, analytics, strategy, and leadership teams.
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Manually scrub, structure, and normalize data as needed to ensure data quality and analytical readiness, particularly for deep-dive analyses.
- Prepare datasets to support advanced analytics, including exploratory and explanatory machine learning techniques, ensuring accuracy, consistency, and scalability.
- Develop data visualizations and dashboards that clearly communicate insights and support decision-making.
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Collaborate cross-functionally with data science, technology, media, strategy, and client-facing teams to align analyses with business needs.
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Document methodologies, assumptions, and data limitations to support transparency and reproducibility.
Cross-functional Interfaces:
- Strategic Solutions
- Pinnacle Task Force
- Data
Success Indicators (What good looks like):
- Bachelor’s degree in Analytics, Statistics, Mathematics, Data Science, Economics, or a related field.
- Experience working with cloud data warehouses ( e.g., Big Query).
- Strong proficiency in SQL , including complex joins, transformations, and performance optimization.
- Solid foundation in statistics and analytical reasoning (e.g., trend analysis, hypothesis testing, segmentation).
- Demonstrated experience with exploratory data analysis and working with large, complex datasets.
- Ability to simplify complex data and insights for diverse audiences.
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker, or similar).
- Proven ability to work collaboratively in cross-functional teams.
Preferred Qualifications
- Experience working with pharmaceutical commercial or media data (e.g., claims, prescription, media, CRM, hub data).
- Familiarity with AI/ML concepts and data preparation requirements for modeling.
- Experience using Python or R for analytics and data manipulation.
- Understanding of pharma compliance, privacy, and data governance considerations.
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Experience working in a remote setting , collaborating cross-functionally with individuals across teams and in different time zones.
Key Competencies
- Analytical rigor and attention to detail
- Business-oriented problem solving
- Clear and concise communication
- Comfort