Data Analyst

Data Analyst 12-month Contract Remote- EST Hours Description The Data Analyst will be responsible for translating complex analytics into clear, actionable insights to support brand strategy and executive decision-making. This role will develop and maintain interactive dashboards, conduct ad-hoc analyses, monitor portfolio performance, and collaborate with cross-functional teams to inform strategic decisions. The Data Analyst will ensure data integrity across reporting tools, manage external analytics vendors, and apply creative problem-solving to uncover insights and address business needs. Requirements • Translate complex analytics into clear, actionable insights. • Develop data-driven narratives to support brand strategy and executive decisions. • Design, build, and maintain interactive Power BI dashboards to track brand and portfolio performance. • Enhance visualizations based on evolving business needs. • Conduct deep-dive analyses to support new brand launches and optimize in-line brands. • Monitor and analyze KPIs across a portfolio of assets. • Identify trends, risks, and opportunities to inform strategic decisions. • Coordinate with external analytics vendors to ensure timely, high-quality deliverables. • Partner with patient affordability, FRM, Payer, and SP operations teams to inform access strategy. • Ensure data accuracy, consistency, and integrity across reports and tools. • Stay current with industry trends, competitive intelligence, and evolving analytical methodologies. Qualifications • 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. • Bachelor’s degree in Business, Statistics, Economics, Life Sciences, Computer Science, or a related field. • Experience with patient access and reimbursement analytics preferred. • Experience with specialty pharmacy data and related analytics required. • Experience with SP data at claim or patient level, including claim data such as CoverMyMeds or IQVIA LAAD claim data. • Strong understanding of pharmaceutical data sources, including IQVIA, Symphony, Komodo, claims data, and specialty pharmacy data. • Proficiency with data visualization and analytics tools, including Power BI, Tableau, Excel, SQL, Python, or SAS. • Strong communication, project management, and storytelling skills. • Ability to translate data into actionable insights that drive business outcomes. • Ability to work effectively in a fast-paced, matrixed environment. • Experience in nephrology, rare disease, or specialty pharmacy distribution preferred.