Principal Engineer - Data Visualization & Analytics

Role: Principal Engineer specializing in Data Visualization & Analytics to support biopharma business operations through advanced data research and reporting. Responsibilities: design and maintain Power BI dashboards, develop data mining architectures, and implement analytics methodologies to identify trends, risks, and opportunities; lead complex analytics projects and stakeholder engagement; develop and optimize data analysis using SQL, Python, R, and enterprise platforms like Databricks; and drive AI-powered digital solutions including automation and predictive modeling. Qualifications: Bachelor's or Master’s in Computer Science, Data Science, or related fields; 5+ years in data visualization, analytics, or data science, with expertise in Power BI, SQL, Python/R, and enterprise data sources; experience leading cross-functional initiatives, influencing stakeholders, and working in agile or regulated environments. High-Value: emphasis on Power BI mastery, enterprise data platforms, machine learning, AI, and automation; focus on data governance, quality, and scalable analytics solutions in a biopharma context. Location: Lexington, MA, with full-time employment. Salary: $116,000–$182,270, commensurate with experience. Certifications in Power BI and cloud/data science platforms preferred. The role entails collaborating with technical and business teams to enable data-driven decision-making, ensuring data integrity and governance, and fostering innovation in analytics practices.