Senior Data Analyst, Pharmaceutical Industry

About this role

Job Description: Senior Data Analyst, Pharmaceutical Industry

Job Details : 90% remote position in the United States, FT Perm W2 employee

Travel Requirements: up to 10% domestic travel each year for company events and socials

Time Zone Preference: US East Coast

Role Purpose:  

The Senior 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). 

• 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. 

• Support AI data modeling and machine learning initiatives by preparing, validating , and structuring scalable datasets in collaboration with data science and technology teams.

• 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. 

• Interpret and translate analytical findings into clear business insights , tailored for stakeholders across marketing, analytics, strategy, and leadership teams. 

• 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. 

• 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. 

Cross-functional Interfaces:  

• Strategic Solutions 

• Data  & Technology

Success Indicators (What good looks like):  

• Bachelor’s degree or equivalent work experience

• Experience working with cloud data warehouses ( e.g., Big Query).  

• Demonstrated hands-on experience developing, testing, and refining AI models and machine learning solutions to address business and analytical needs.

• 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. 

• 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 working with ambiguous or imperfect data 

• Curiosity and continuous learning mindset 

• Collaboration and teamwork 

Interested? Apply by submitting your resume and a brief note outlining your healthcare or media experience.

  Underscore Marketing is a woman-owned, independent agency specializing in life sciences. Since 2002,   we've   helped clients gain a competitive edge through bold, data-driven promotional strategies that deliver measurable results.    

Our team  comprises  media, strategy, and omnichannel analytics experts who thrive on collaboration, innovation, and results. When you join Underscore, you become part of a dynamic environment where your ideas matter, your growth is supported, and your work helps elevate brands in a competitive healthcare landscape.    

If  you're  passionate about making a difference and want to be part of a team that values integrity, creativity, and results, if that sounds like you, we invite you to share.    

Equal Employment Opportunity Statement   Underscore is committed to creating a diverse and inclusive workplace. We  provide  equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable law. We believe that diversity drives innovation and success, and we welcome candidates from all backgrounds to apply.

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