
Data Analyst
Posted 3 hours ago

Posted 3 hours ago
This is a fully remote position, open to applicants in United States.
• Execute comprehensive SQL-based data transformations, merging data from various internal and external sources (such as claims, media, CRM, and EHR-derived datasets).
• Establish, validate, and manage metrics that align with pharmaceutical business inquiries (for instance, brand performance, HCP engagement, and patient journeys).
• Utilize statistical reasoning to assess trends, identify performance drivers, and uphold analytical rigor in insights and recommendations.
• Sustain and refine analytical datasets and workflows as new data becomes available.
• Perform detailed exploratory data analysis (EDA) to reveal patterns, anomalies, and opportunities within intricate healthcare datasets.
• Interpret and convert analytical results into clear business insights, customized for stakeholders in marketing, analytics, strategy, and leadership teams.
• Manually cleanse, structure, and normalize data as necessary to guarantee data quality and analytical readiness, especially for in-depth analyses.
• Prepare datasets to facilitate advanced analytics, including exploratory and explanatory machine learning methods, ensuring accuracy, consistency, and scalability.
• Create data visualizations and dashboards that effectively convey insights and aid in decision-making.
• Work collaboratively across functions with data science, technology, media, strategy, and client-facing teams to ensure analyses meet business requirements.
• Document methodologies, assumptions, and data constraints to promote transparency and reproducibility.
• Bachelor’s degree in Analytics, Statistics, Mathematics, Data Science, Economics, or a related discipline.
• Experience with cloud data warehouses (e.g., Big Query).
• High proficiency in SQL, encompassing complex joins, transformations, and performance optimization.
• Strong background in statistics and analytical reasoning (e.g., trend analysis, hypothesis testing, and segmentation).
• Proven experience in exploratory data analysis and handling large, complex datasets.
• Capability to simplify intricate data and insights for a variety of audiences.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker, or similar).
• Demonstrated ability to collaborate effectively within cross-functional teams.
• 90% remote position
• Up to 10% domestic travel each year for company events and socials
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