Senior Pharmacist Data Analyst information
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$62.3K - $69.6K
1% of jobs
$85.8K is the 25th percentile. Wages below this are outliers.
$84.3K - $91.6K
18% of jobs
The median wage is $96.2K / yr.
$91.6K - $98.9K
17% of jobs
$98.9K - $106.2K
18% of jobs
$106.5K is the 75th percentile. Wages above this are outliers.
$106.2K - $113.5K
17% of jobs
$113.5K - $120.9K
6% of jobs
$120.9K - $128.2K
1% of jobs
$128.2K - $135.5K
1% of jobs
How much do senior pharmacist data analyst jobs pay per year?
As of Aug 28, 2026, the average yearly pay for senior pharmacist data analyst in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.
Senior Pharmacist Data Analysts are professionals who combine their expertise in pharmacy with advanced data analysis skills. They analyze large sets of pharmaceutical data to improve patient care, optimize medication use, and support decision-making in healthcare settings. Their role often involves working with electronic health records, clinical databases, and pharmacy management systems to identify trends, ensure regulatory compliance, and enhance operational efficiency. By leveraging both clinical knowledge and data analytics, they help healthcare organizations make informed decisions to improve outcomes and reduce costs.
A Senior Pharmacist Data Analyst regularly works alongside clinical teams by analyzing medication usage patterns, identifying trends in adverse drug events, and supporting evidence-based decision-making. Through collaborative meetings and data-driven presentations, they help clinicians optimize prescribing practices and ensure medication safety. This role often involves translating complex analytics into actionable insights that directly support patient care initiatives and hospital quality improvement projects.
To thrive as a Senior Pharmacist Data Analyst, you need a strong background in pharmacy, data analysis, and healthcare analytics, typically supported by a PharmD or equivalent degree and experience in data-driven environments. Expertise in data management tools like SQL, Python, or R, familiarity with pharmacy management systems, and certifications in data analytics are commonly required. Critical thinking, attention to detail, and effective communication are vital soft skills for translating complex data insights into actionable recommendations. These skills are crucial for optimizing medication use, improving patient outcomes, and supporting evidence-based decision-making in healthcare organizations.
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