Data Analyst

Role Overview

This position is a 12-month contract engagement where the Data Analyst will play a critical role in interpreting complex data analytics into clear, actionable insights that directly support brand strategy and influence executive decision-making. Operating remotely with an expectation to align with Eastern Standard Time hours, the analyst will design, develop, and maintain dynamic dashboards, conduct in-depth analyses, and monitor performance metrics across product portfolios.

Key Responsibilities

• Create compelling data-driven narratives that underpin brand strategies and executive decisions.
• Design, implement, and maintain interactive Power BI dashboards to effectively monitor brand and portfolio metrics.
• Refine and update visualizations responsive to evolving business requirements.
• Perform detailed analytical studies to aid new product launches and optimize existing brands.
• Track and analyze key performance indicators across diverse asset portfolios.
• Identify emerging trends, risks, and opportunities to guide strategic planning.
• Manage and liaise with external analytics vendors to ensure delivery of quality, timely outputs.
• Collaborate with patient affordability, field reimbursement management, payer, and specialty pharmacy operations teams to enhance access strategies.
• Guarantee the accuracy, consistency, and integrity of data across reporting platforms and tools.
• Keep abreast of industry developments, competitive intelligence, and new analytical techniques.

Required Qualifications

• Five or more years of experience in pharmaceutical data science, brand analytics, or commercial analytics with at least two years within pharmaceutical or life sciences sectors.
• Bachelor's degree in Business, Statistics, Economics, Life Sciences, Computer Science, or a related discipline.
• Preferred experience in patient access and reimbursement analytics.
• Demonstrated knowledge of specialty pharmacy data and analytics, including patient-level and claim data such as CoverMyMeds or IQVIA LAAD claim data.
• Strong familiarity with pharmaceutical data sources such as IQVIA, Symphony, Komodo, claims, and specialty pharmacy information.
• Proficiency in data visualization and analysis tools including Power BI, Tableau, Excel, SQL, Python, and SAS.
• Excellent communication, project management, and analytical storytelling capabilities.
• Proven ability to convert data insights into meaningful business outcomes.
• Experience working effectively in a dynamic, complex organizational environment.
• Experience in nephrology, rare diseases, or specialty pharmacy distribution is an advantage.