Senior Data Analyst

This remote role offers the opportunity to lead advanced analytics initiatives focused on oncology patient journeys, treatment pathways, and line-of-therapy analysis.
You will transform large-scale claims and patient datasets into actionable insights that support strategic and commercial decision-making.
The position combines hands-on data analysis with client-facing communication, visualization, and project ownership.
You will work with structured healthcare data from sources such as DRG, IQVIA, McKesson, and Symphony claims.
Your analyses may support real-world evidence, healthcare resource utilization, prevalence, incidence, and cost-of-illness studies.
You will collaborate with teams spanning HEOR, market access, strategy, and engineering in a multidisciplinary environment.
The role is well suited to an experienced analyst who enjoys solving complex healthcare problems and translating data into clear business insights.

• Bachelor’s or Master’s degree in Computer Science, Electronics, Pharmacy, Life Sciences, Data Science, Statistics, or a related discipline.

• At least 5 years of professional experience, including 3+ years in relevant data analytics roles.

• Proven experience working with structured healthcare and patient datasets, particularly DRG, Symphony, IQVIA, or McKesson claims.

• Strong proficiency in SQL, Python, Excel, and PowerPoint.

• Experience working in pharmaceutical, life-science consulting, healthcare analytics, or a related analytical environment.

• Exposure to real-world evidence data sources such as EHR/EMR and CMS datasets.

• Understanding of line-of-therapy frameworks, treatment guidelines, patient journeys, and market-access structures.

• Strong analytical and problem-solving capabilities, with the ability to translate complex datasets into meaningful conclusions.

• Excellent communication and stakeholder-management skills, including the ability to explain analytical approaches, timelines, findings, and recommendations.

• Ability to work independently, manage multiple priorities, and collaborate effectively with cross-functional and global teams.

• Working knowledge of data visualization tools such as Power BI or Tableau is a plus.

• Knowledge of data modeling and statistical techniques is advantageous.

• Client-facing experience and the ability to communicate business insights effectively are preferred.

• Familiarity with oncology, immunology, rare diseases, or other relevant therapy areas is beneficial.

• Experience facilitating stakeholder workshops, developing interactive dashboards, or working with multi-geography datasets is a plus.