Data Analyst IV- #26-17009

The Data Analyst tasks include:

• Strategic Thinking & Storytelling
• Translate complex analytics into clear, actionable insights.
• Develop compelling, data-driven narratives to support brand strategy and executive decisions.
• Power BI Development
• Design, build, and maintain interactive, user-friendly dashboards to track brand and portfolio performance.
• Continuously enhance visualizations based on evolving business needs.
• Ad-Hoc Analytics & Creative Problem Solving
• Conduct deep-dive analyses to support new brand launches and optimize in-line brands.
• Apply creative thinking to uncover insights and solve complex business questions.
• Portfolio Performance Management
• Monitor and analyze KPIs across a portfolio of assets.
• Identify trends, risks, and opportunities to inform strategic decisions.
• Vendor Management
• Coordinate with external analytics vendors to ensure timely, high-quality deliverables.
• Cross-Functional Collaboration
• Partner closely with patient affordability team, FRM, Payer, SP ops teams to inform Access strategy.
• Data Integrity & Industry Awareness
• Ensure data accuracy, consistency, and integrity across all reports and tools.
• Stay abreast of industry trends, competitive intelligence, and evolving analytical methodologies.

• 5 years of experience in pharmaceutical data science, brand analytics, or commercial analytics, with at least 2 years in the pharmaceutical or life sciences industry.
• Patient access & reimbursement analytics preferred.
• Data experience in SP data at claim or patient level, Claim data like CoverMyMed data, or Iqvia LAAD claim data.
• Experience with specialty pharmacy data and related analytics required.
• Strong command of pharma data sources (e.g., IQVIA, Symphony, Komodo, claims data, specialty pharmacy).
• Proficiency in data visualization and analytics tools (Power BI, Tableau, Excel, SQL, Python, or SAS).
• Excellent communication, project management, and storytelling skills.
• Demonstrated ability to translate data into actionable insights that drive business outcomes.
• Ability to work in a fast-paced, matrixed environment.

Preferred

• Experience in nephrology, rare disease, or specialty pharmacy distribution., * Bachelor's degree in Business, Statistics, Economics, Life Sciences, Computer Science, or a related field.