Job Opportunities API

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