Senior Patient Support Analytics Lead

Novo Nordisk

Plainsboro Township (NJ)

On-site

USD 90,000 - 130,000

Full time

7 days ago
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Job summary

Novo Nordisk in Plainsboro, NJ is seeking a Senior Analyst, Patient Support Analytics to transform patient support, self-pay, affordability, and operational data into actionable insights that improve patient access and program performance.

The role delivers accurate reporting, dashboards, and decision support to identify access barriers, optimize pathways, and strengthen outcomes. You will collaborate with PSS, IT, Finance, and Market Access to drive data-driven decisions.

Qualifications

  • Bachelor’s degree in data science, statistics, economics, public health or related field.
  • 2+ years of applied analytics experience.
  • Pharmaceutical industry experience preferred.
  • Strong SQL and Python/R skills; knowledge of AI.
  • Excellent written and oral communication skills.
  • Experience developing data visualization tools.
  • Ability to monitor, track, and develop programs to meet timelines.

Responsibilities

  • Collect, integrate, validate, and analyze data from patient support programs and related sources.
  • Analyze patient and customer journeys to identify trends and barriers.
  • Develop dashboards and reports for performance insights.
  • Provide executive summaries with findings and recommendations.
  • Collaborate with cross-functional teams to align analytics with business needs.
  • Apply analytics and AI techniques to deepen insights.

Skills

SQL
Python
R
Data visualization
Analytical thinking
Communication
Time management

Education

Bachelor's degree in data science / statistics / economics / public health

Tools

LAAD dataset
AI knowledge

Job description

Novo Nordisk in Plainsboro, NJ is seeking a Senior Analyst, Patient Support Analytics to transform patient support, self-pay, affordability, and operational data into actionable insights that improve patient access and program performance.

The role delivers accurate reporting, dashboards, and decision support to identify access barriers, optimize pathways, and strengthen outcomes. You will collaborate with PSS, IT, Finance, and Market Access to drive data-driven decisions.

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