Pharmacy Analytics Data Analyst information
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$12.41 - $15.97
0% of jobs
$15.97 - $19.54
0% of jobs
$19.54 - $23.10
18% of jobs
$25.45 is the 25th percentile. Wages below this are outliers.
$23.10 - $26.66
11% of jobs
$26.66 - $30.22
1% of jobs
$30.22 - $33.78
9% of jobs
The median wage is $35.75 / hr.
$33.78 - $37.35
20% of jobs
$39.50 is the 75th percentile. Wages above this are outliers.
$37.35 - $40.91
27% of jobs
$40.91 - $44.47
14% of jobs
How much do pharmacy analytics data analyst jobs pay per hour?
As of Sep 12, 2026, the average hourly pay for pharmacy analytics data analyst in the United States is $34.05, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $39.66 per hour, depending on experience, location, and employer.
A Pharmacy Analytics Data Analyst is responsible for collecting, analyzing, and interpreting data related to pharmacy operations, medication usage, and patient outcomes. They use statistical tools and software to identify trends, optimize pharmacy processes, and support decision-making for improving healthcare services. Their work helps ensure effective medication management, cost savings, and regulatory compliance within healthcare organizations.
To thrive as a Pharmacy Analytics Data Analyst, you need strong analytical skills, a background in pharmacy or healthcare, and proficiency in data analysis, usually supported by a degree in pharmacy, statistics, or a related field. Familiarity with analytical tools such as SQL, Python, Tableau, and pharmacy information systems, as well as certifications like Certified Analytics Professional (CAP), are often required. Excellent communication, attention to detail, and problem-solving abilities are vital soft skills for interpreting data and presenting insights to stakeholders. These competencies ensure accurate data-driven recommendations that improve pharmacy operations, patient outcomes, and organizational efficiency.
Pharmacy Analytics Data Analysts frequently work alongside pharmacists and healthcare teams to interpret medication usage data and identify trends that can improve patient outcomes. They translate complex data findings into actionable insights, often presenting recommendations during team meetings or through detailed reports. Effective communication skills are important, as analysts must ensure their findings are understandable and relevant to non-technical stakeholders. This collaborative approach helps drive evidence-based decisions in medication management and pharmacy operations.
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