Commercial Analytics Manager

GForce Life Sciences

United States

United States

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Consultant, Commercial Analytics Manager Summary Our mid-sized, growing pharmaceutical client is seeking a Data Analyst professional who is highly motivated and a strategic individual responsible for supporting the commercial success of our clients pharmaceutical brands. This role combines advanced analytics, data visualization, and storytelling to generate actionable insights that influence brand strategy and leadership decision-making. The ideal candidate will bring strong analytical capabilities, expertise in pharmaceutical data, and a collaborative mindset to drive performance across the organization. Responsibilities 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 Marketing, Sales, Market Access, Forecasting, Finance, and Market Research teams to inform brand strategy and tactical execution. 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. Qualifications/Experience: 3+ years of experience in pharmaceutical data science, brand analytics, or commercial analytics, with at least 2 years in the pharmaceutical or life sciences industry. Experience with specialty pharmacy data and related analytics. Strong command of pharma data sources (e.g., IQVIA, Symphony, Komodo, claims data, specialty pharmacy, field activity data). Proficiency in data visualization & analytics tools (Power BI, Tableau, Excel, SQL, Python, or SAS). Preferred : Experience in nephrology, rare disease, oncology, or specialty pharmacy distribution. Education:
Bachelor’s degree in Business, Statistics, Economics, Life Sciences, Computer Science, or a related field. Term & Start 12 month contract – possible option to extend. Start 2-3 weeks from an offer. Remote with ability to go onsite 1 X per week in Princeton, NJ Benefits available (Medical, Dental, Vision, 401k

United States

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English

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