Real-World Data Analyst — Healthcare Insights & Strategy

Norstella; United States; On-site; USD 70,000 - 110,000; Full time

Benefits offered by this job

Medical and Prescription Drug Benefits

Health Savings Accounts (HSA) or Flex.

Dental & Vision Benefits

401k Retirement Plan with CompanyMatch

Paid Parental Leave

Paid Time Off & Company Holidays

Basic Life and AD&D Benefits

Job summary

Norstella is seeking a mid-level Data Analyst for its Real-World Data (RWD) team in the United States. You will apply rigorous analytical thinking to assess data sources, guide extraction development, and advise clients on data selections and methodologies.

You will act as a technical resource across internal teams while ensuring clinical relevance in outputs. You will collaborate with analytics, engineering, and delivery teams, leveraging AI tools to accelerate delivery and address complex

Qualifications

• Bachelor’s degree or higher in a data-focused field (Data Science, CS, Public Health, Biostatistics, Epidemiology).
• 2–5 years hands-on experience with real-world healthcare data and data-driven recommendations.
• Strong SQL with complex multi-table queries; production-quality extract logic.
• Familiarity with AI-powered tools (ChatGPT, Claude) for development acceleration.

Responsibilities

• Serve as SME across real-world data source types (claims, EHR/EMR, lab, NLP-derived data).
• Design client-specific data extracts reflecting specifications and data understanding.
• Translate requirements into production-quality SQL and maintainable data logic.
• Communicate data decisions and trade-offs clearly to technical and non-technical audiences.

Skills

RWD expertise

SQL proficiency

Analytical reasoning

AI tooling

Client collaboration

Problem solving

Education

Bachelor’s degree in Data Science, CS, Public Health, Biostatistics, Epidemiology

Tools

SQL

Python

R

Airflow

Version control

Job description

Norstella is seeking a mid-level Data Analyst for its Real-World Data (RWD) team in the United States. You will apply rigorous analytical thinking to assess data sources, guide extraction development, and advise clients on data selections and methodologies.

You will act as a technical resource across internal teams while ensuring clinical relevance in outputs. You will collaborate with analytics, engineering, and delivery teams, leveraging AI tools to accelerate delivery and address complex