Data Analyst IV- #26-17009

US Tech Solutions, Inc.

Princeton, NJ, United States

27 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Compensation

$208,000.0 - $218,400.0

Working hours

Regular working hours

Job source

dejobs.org

Tech stack

Microsoft Excel Data Integrity Data Visualization Python (Programming Language) Power BI SAS (Software) SQL Databases Tableau (Software) Information Technology Data Analytics Tools for Reporting

Job 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.

Requirements

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.