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Pharmacy Data Analytics Jobs in Michigan (NOW HIRING)

Capgemini

$65K/yr

The role requires strong technical data analysis skills, budget management experience, and ... Experience with patient data, claims data, EHR/EMR data, Specialty Pharmacy data, and Specialty ...

New

HUB

Pharmacy Benefits Account Manager

Grand Rapids, MI · On-site +1

$80K - $110K/yr

... delivery ofPBMstrategy and data driven analysis.ThePBAMwillwork directly withPharmacy ... Pharmacy data collection, validation, and preparationfor analysisand deliverables. * Use of ...

Lthc

Pharmacy Analytics Consultant I/II

Dewitt, MI

Analyzes data to determine business problem, trends or opportunities for process improvements. * Provide consultation and analytic support within the Pharmacy Division, other Health Plan departments ...

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How much do pharmacy data analytics jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for pharmacy data analytics in Michigan is $29.68, according to ZipRecruiter salary data. Most workers in this role earn between $22.21 and $34.57 per hour, depending on experience, location, and employer.

What is pharmacy data analytics?

Pharmacy data analytics refers to the process of collecting, analyzing, and interpreting data related to pharmacy operations, medication usage, and patient outcomes. Professionals in this field use various tools and techniques to identify trends, improve medication safety, optimize drug inventory, and support clinical decision-making. By leveraging data, pharmacy data analysts help organizations reduce costs, enhance patient care, and ensure regulatory compliance.

How does a pharmacy data analytics professional typically collaborate with pharmacists and healthcare providers?

Pharmacy Data Analytics professionals work closely with pharmacists and healthcare providers to analyze medication usage patterns, identify trends, and support evidence-based decision-making. They frequently participate in interdisciplinary meetings, presenting data-driven insights that help optimize patient care, reduce medication errors, and manage costs. Effective communication skills are essential, as analytics professionals must translate complex data into actionable recommendations for clinical staff. Collaboration often extends to IT teams to ensure seamless data integration and reporting.

What are the key skills and qualifications needed to thrive in pharmacy data analytics, and why are they important?

To excel in Pharmacy Data Analytics, you need a solid background in pharmacy practice, data analysis, and statistics, often supported by a degree in pharmacy, data science, or a related field. Familiarity with data analytics tools such as SQL, Python, Tableau, or pharmacy management software, as well as relevant certifications like Certified Analytics Professional (CAP), is highly beneficial. Strong attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating complex data into actionable insights. These competencies ensure accurate data-driven decisions that improve medication management, patient outcomes, and operational efficiency in pharmacy settings.

What is the difference between Pharmacy Data Analytics vs Pharmacovigilance Analyst?

AspectPharmacy Data AnalyticsPharmacovigilance Analyst
Required CredentialsBachelor's in Pharmacy, Data Science, or related field; proficiency in data analysis toolsBachelor's in Pharmacy, Life Sciences, or related; knowledge of drug safety regulations
Work EnvironmentHealthcare organizations, pharmacies, data analysis firmsPharmaceutical companies, regulatory agencies, healthcare settings
Industry UsageAnalyzing pharmacy data, medication trends, patient outcomesMonitoring drug safety, adverse event reporting, regulatory compliance
Common Search/ComparisonYesYes

Pharmacy Data Analytics focuses on analyzing pharmacy-related data to improve medication management and patient outcomes, while Pharmacovigilance Analysts concentrate on monitoring drug safety and adverse events. Both roles require a background in pharmacy or related fields but serve different functions within the healthcare and pharmaceutical industries.

How to become a pharmacy data analyst?

To become a pharmacy data analyst, you typically need a bachelor's degree in pharmacy, data science, statistics, or a related field. Developing skills in data analysis tools like Excel, SQL, and programming languages such as Python or R, along with knowledge of pharmacy operations and healthcare regulations, is essential. Gaining experience through internships or entry-level roles can also improve job prospects.

What does a pharmacy data analyst do?

A pharmacy data analyst collects, analyzes, and interprets healthcare and pharmacy data to improve medication management, patient outcomes, and operational efficiency. They use tools like SQL, Excel, and data visualization software to identify trends, support decision-making, and ensure data accuracy within pharmacy or healthcare settings.

What are popular job titles related to Pharmacy Data Analytics jobs in Michigan?

For Pharmacy Data Analytics jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Pharmacy Data Analytics jobs in Michigan look for?

The top searched job categories for Pharmacy Data Analytics jobs in Michigan are:

What cities in Michigan are hiring for Pharmacy Data Analytics jobs?

Cities in Michigan with the most Pharmacy Data Analytics job openings:

Pharmacy Data Analytics jobs near you
Infographic showing various Pharmacy Data Analytics job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $61,729 per year, or $29.7 per hour.

Healthcare SAS Programmer/Data Analyst

Palnar

Southfield, MI • On-site

Full-time

Re-posted 14 days ago

Job description

Top 3 Required Skills/Experience:
Minimum of five years of SAS and SQL programming to create reports and dashboards.
Working with large data sources and analyzing pharmacy data
Analytical experience in the pharmacy services division and with PBM
Required Skills/Experience:
Ability to design and develop SharePoint site and use Dundas charts/excel web services, Access, and SAS data sources.
Knowledge of PBM systems and tools.
Excellent analytical, planning, problem solving, verbal, and written skills to communicate complex ideas.
Excellent knowledge and use of existing software packages (PowerPoint, Excel, Word, etc.).
Strong working knowledge of data languages such as SAS or SQL.
Ability to work independently, within a team environment, and communicate effectively with employees at all levels.

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