Role Summary
We are seeking a motivated, experienced Senior Data Analyst who will lead analytics efforts around Oncology patient journey, line of therapy (LoT) and structured claims/patient data.
The successful candidate will transform large claims datasets into insights that shape strategic decisions for our clients.
Key Responsibilities
- Lead and execute analytics projects focused on patient-journey and line-of-therapy mapping, Brand analytics.
- Analyze structured claims and patient datasets such as DRG, IQVIA, McKesson, Symphony claims.
- Conduct exploratory data analysis (EDA) to assess treatment patterns, pathways and utilization.
- Support HEOR/HCRU analyses including prevalence, burden, incidence and cost-of-illness studies.
- Develop and present client-facing insights using dashboards, PowerPoint and visual analytics.
- Build and optimise SQL queries, pipelines; use Excel and Python for automation and analysis.
- Collaborate with HEOR, market-access, strategy and engineering teams. Ability to gather requirements, articulate approach, timeline and execution with key stakeholders are of equal importance.
- Ensure data integrity, governance, documentation and reproducibility.
- Independently manage workload, communicate progress and drive project delivery.
Required Qualifications
- Minimum 5 years’ experience, with 3+ years in relevant analytics roles.
- Bachelor’s/Master’s in Computer Science, Electronics, Pharmacy, Life Sciences, Data Science, Statistics or related field.
- Prior Experience with structured datasets: DRG, Symphony, IQVIA, McKesson.
- Strong proficiency in SQL, Python, Excel, PowerPoint.
- Experience in Pharma/life-science consulting or analytics agencies.
- Exposure to RWE sources including EHR/EMR, CMS datasets.
- Understanding of LoT frameworks, treatment guidelines and market-access structures.
Preferred / Nice to Haves
- Working knowledge of Python and visualisation tools (Power BI, Tableau).
- understanding of data modeling and statistical techniques.
- Client-facing experience with ability to translate analytics into business insights.
- Therapy-area familiarity (oncology, immunology, rare diseases).
- Experience conducting stakeholder workshops or building interactive dashboards.
Experience working with global teams and multi-geography datasets.
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