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.

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?

Responsibilities

, claims, media, CRM, EHR-derived datasets). , 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.

, Big Query). Strong proficiency in SQL , including complex joins, transformations, and performance optimization. , 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. , Tableau, Power BI, Looker, or similar).

Proven ability to work collaboratively in cross-functional teams.

Preferred Qualifications

, claims, prescription, media, CRM, hub data).