Senior Data Analyst

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PRECISIONvalue

WebsiteLinkedInAll Job Openings

501 - 1000 employees

⚕️ Healthcare Insurance

💊 Pharmaceuticals

🏢 Enterprise

Healthcare Insurance • Pharmaceuticals • Enterprise

PRECISIONvalue is a company that specializes in market access and commercialization strategies for life sciences and pharmaceutical industries. They leverage a team of experts, including former payer decision makers, to provide insights across various market channels. Their services include demonstrating the value of life-science innovations, strategic market access, training solutions, and developing key insights for commercialization success. PRECISIONvalue also offers on-demand webinars, white papers, and forums to share exclusive insights with their clients. They focus on ensuring that life-changing medicines are accessible to patients by combining scientific data and empathetic communication strategies to maximize commercial success.

📋 Description

• 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.

🎯 Requirements

• 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.