Data Analyst IV- #26-17009
Company: US Tech Solutions
Location: Princeton, NJ (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-07-14
About this role
12+ months
Description:
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.
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.
- 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, Py...