Senior Healthcare Research Data Analyst

About You - Experience, Education, Skills, and Accomplishments Master's degree (MA, MS in life sciences or MBA), Pharm D, or PhD. At least 5 years of relevant job experience. Advanced proficiency in Microsoft Excel, including pivot tables, advanced formulas (e.g., VLOOKUP), and effective data organization strategies. Experienced in working on data forecasting models. Highly self-motivated, able to work independently or within a team to produce high-quality deliverables with minimal rework. Strong critical thinking and analytical skills. Mature communicator capable of handling high-profile clients, including Fortune 500 companies. Strong presentation and written communication skills. Strong business writing skills. Experience leading projects while collaborating with different teams and information sources. Preferred Qualifications Well-developed expertise in market research methodologies or related job experience. Ability to handle tight deadlines. Excellent creative problem-solving skills. Strong grasp of microeconomics and business operations. Experience or strong interest in converting unstructured datasets into usable data models. Business acumen to support sales success, ongoing improvements, and relationships with internal and external stakeholders. Eye for detail and expertise in quality control (QC) of data sets. Experience with tools such as Excel, R, Python, or similar. Experience with project management. What You'll Be Doing in This Role Author and audit comprehensive market research reports that provide quantitative and qualitative insights on specific medical device markets globally. Build market models using Clarivate's proprietary healthcare datasets, integrating public financial, regulatory, and government data. Interview industry stakeholders and medical professionals to contextualize data and form insights. Understand client needs and pain points, working closely with them as a problem-solver. Regularly communicate with high-profile clients, including Fortune 500 companies, to present and defend conclusions. Cross-functional collaboration on larger projects that impact multiple teams. Contribute your vision to influence the evolution of products, data models, and data usage strategy.