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.