• 4–5+ years of experience in analytics, statistical modeling, data strategy, marketing analytics, healthcare analytics, consulting analytics, or related quantitative fields
• Advanced proficiency in Python for data analysis, and automation
• Database and cloud platform fluency for data management (SQL, AWS)
• Experience working with large and different datasets
• Experience building scalable analytical workflows and automating repetitive processes
• Search, social, longitudinal, geographic, digital behavior, media, web traffic, NLP datasets and relational databases
• Healthcare and pharmaceutical data is strongly preferred: claims, patient-level, referral, Salesforce notes, syndicated, promotional, market research, web visit, and email data
• Statistical modeling (Marketing mix marketing, multi-touch attribution)
• Customer Segmentation and Clustering
• Forecasting and Trend analysis
• Triangulating data sources
• Ability to distill complex findings into concise, relevant insights that guide true growth
• Curiosity- with a bias toward innovation, optimization, experimentation, and continuous improvement
• Apply new tools, datasets, and methodologies in evolving analytical environments