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Underscore Marketing

Data Analyst

Posted 8 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
Support pharmaceutical brand and commercial teams by transforming and integrating healthcare and media data using SQL and cloud warehouses, performing EDA and statistical analysis, preparing datasets for advanced analytics and ML, and building visualizations and dashboards. Communicate insights to cross-functional stakeholders, document methodologies, and maintain analytical workflows and data governance for marketing and analytics use cases.
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Job Description: Data Analyst, Pharmaceutical Industry 

Job Details: 90% remote position for US 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 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. 
  • 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 
  • 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. 
  • 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'vehelped 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. 



HQ

Underscore Marketing New York, New York, USA Office

90 Broad St, New York, New York, United States, 10004 2205

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