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Pharmacy Data Analyst Remote Jobs (NOW HIRING)

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Pharmacy Data Analyst Remote information

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How much do pharmacy data analyst remote jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for pharmacy data analyst remote 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.

What does a pharmacy data analyst do in a remote role?

A Pharmacy Data Analyst working remotely is responsible for collecting, analyzing, and interpreting pharmacy-related data to help improve healthcare outcomes and business operations. They work with large datasets from pharmacy claims, medication usage, and patient records to identify trends, ensure compliance, and support decision-making. Their work often involves creating reports, dashboards, and predictive models. Communication with pharmacy teams, IT, and other stakeholders is typically done via virtual meetings and collaboration tools.

What are the key skills and qualifications needed to thrive as a pharmacy data analyst remote?

To thrive as a Pharmacy Data Analyst (Remote), you need strong analytical skills, proficiency in data management, and a background in pharmacy, healthcare, or related fields, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Excel, Python, and pharmacy management software, as well as certifications such as Certified Pharmacy Technician (CPhT), is highly valued. Excellent communication, problem-solving abilities, and attention to detail are crucial soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate data-driven decision-making that improves pharmacy operations, patient outcomes, and regulatory compliance.

What are some common challenges faced by remote pharmacy data analysts and how can they be addressed?

Remote Pharmacy Data Analysts often encounter challenges such as maintaining effective communication with cross-functional teams, managing large and complex datasets securely, and staying updated with regulatory changes in the pharmaceutical industry. To address these, it's important to leverage robust collaboration tools, establish regular check-ins with stakeholders, and pursue continued education or certifications related to pharmacy data standards. Building strong routines for data documentation and security also ensures accuracy and compliance in your analyses.

What is the difference between Pharmacy Data Analyst Remote vs Pharmacy Data Coordinator?

AspectPharmacy Data Analyst RemotePharmacy Data Coordinator
Required CredentialsBachelor's in Data Science, Pharmacy, or related field; proficiency in data analysis toolsBachelor's in Pharmacy, Healthcare Administration, or related field; familiarity with pharmacy systems
Work EnvironmentRemote, independent data analysis tasks, often part of a larger healthcare teamOn-site or hybrid pharmacy settings, managing data entry and coordination
Employer & Industry UsageHealthcare organizations, pharmacies, insurance companiesPharmacies, healthcare providers, pharmacy benefit managers

The main difference is that Pharmacy Data Analysts Remote focus on analyzing pharmacy data remotely using specialized tools, while Pharmacy Data Coordinators handle data entry and coordination tasks within pharmacy settings. Both roles require healthcare knowledge, but analysts emphasize data interpretation and reporting, whereas coordinators focus on data management and operational support.

More about Pharmacy Data Analyst Remote jobs

What cities are hiring for Pharmacy Data Analyst Remote jobs?

Cities with the most Pharmacy Data Analyst Remote job openings:

What are the most commonly searched types of Pharmacy Data Analyst jobs?

The most popular types of Pharmacy Data Analyst jobs are:

What states have the most Pharmacy Data Analyst Remote jobs?

States with the most job openings for Pharmacy Data Analyst Remote jobs include:

Infographic showing various Pharmacy Data Analyst Remote job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $70,823 per year, or $34 per hour.

Medication and Pharmacy Data Analytics Specialist

Rush University Medical Center

Chicago, IL • Remote

$41.88 - $62.40/hr

Full-time

Posted 17 days ago


Rush University Medical Center rating

8.1

Company rating: 8.1 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

117th of 1,065 rated hospitals


Job description

Location: Chicago, Illinois / Remote

Business Unit: Rush Medical Center

Hospital: Rush University Medical Center

Department: System Pharmacy

Work Type: Full Time (Total FTE between 0. 9 and 1. 0)

Shift: Shift 1

Work Schedule: 8 Hr (8:00:00 AM - 4:00:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

Pay Range: $41.88 - $62.40 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

Summary:
Are you passionate about using data to improve patient care, medication safety, and pharmacy operations? Rush University Medical Center is seeking a Medication and Pharmacy Data Analytics Specialist to help transform complex healthcare data into actionable insights that drive clinical, operational, and strategic decision-making across our growing pharmacy enterprise. 

In this highly collaborative role, you will serve as a key partner between Pharmacy Operations, Pharmacy Informatics, Knowledge Management, and Information Technology teams, leveraging data to optimize medication-use processes, improve clinical workflows, and support enterprise-wide pharmacy initiatives. You will design and develop analytics solutions, build and maintain data integrations, create dashboards and reports, and uncover meaningful trends that help improve patient outcomes and operational performance. 

This position is ideal for a data professional who enjoys solving complex problems, working directly with stakeholders, and translating data into compelling stories and actionable recommendations. You'll have the opportunity to work with leading healthcare technologies, electronic health records, pharmacy systems, and advanced analytics tools while helping shape the future of pharmacy services at a nationally recognized academic health system. 

The ideal candidate combines strong technical expertise in healthcare analytics, data management, and reporting with a passion for collaboration, innovation, and continuous improvement. Experience with healthcare data, pharmacy operations, Epic, SQL, Tableau, and data warehousing environments will position you for success in this role. 

Join Rush and play a critical role in advancing data-driven pharmacy care, improving medication safety, and supporting innovative healthcare solutions that make a meaningful difference for patients and providers every day. The identified candidate exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.

Responsibilities:
Collaborative Problem Solving

  • Produces deliverables for leadership and communicates with all levels of stakeholders.
  • Collaborate with healthcare providers to implement and refine workflows that incorporate pharmaceutical data.

Pharmacy Informatics

  • Continuous improvement of pharmacy-related IT systems, including medication dispensing software, inventory management tools, and automated dispensing technologies.
  • Leverage data to improve medication safety, reduce errors, and enhance clinical decision-making.

Data Management and Integration

  • Gather business and data requirements from stakeholders.
  • Captures, develops, and documents data definitions, business rules, and data quality requirements.
  • Design and maintain databases that store pharmaceutical, clinical, and operational data (e.g., medication records, patient outcomes, drug interactions).
  • Integrate data from various sources such as electronic health records (EHRs), pharmacy management systems, and clinical decision support tools to optimize and automate decision making.

Data Analysis and Reporting

  • Conducts data analysis in support of a variety of analytic solutions.
  • Create and produce forecasts, reports, ad hoc requests, dashboards, etc.
  • Interprets data, analyzes results, create visualizations, and provides insights to determine operational impact, trends, and opportunities to communicate insights to pharmacists, clinicians, and leadership.
  • Produces reports and analytics that facilitate evidence-based clinical, financial, and operational decisions.

Systems Development and Automation

  • Identifies and defines both process and data improvements.
  • Build and maintain systems to process, integrate, and transform data into robust analytics.
  • Create algorithms or models to predict medication utilization.
  • Work with software developers to integrate data solutions into existing healthcare platforms.

Stakeholder, Regulatory and Clinical Support

  • Ensures compliance with deliverable reporting requirements by performing quality data audits and analysis.
  • Ensure data accuracy, security, and compliance with regulations.
  • Provide expertise on drug-related data to support clinical trials, population health management, or precision medicine initiatives.

Required Job Qualifications:

  • Education: Bachelor’s degree in information science, computer science or related field.
  • Experience: 3 years of data analysis, query design, and reporting experience.
  • Experience with test reporting solutions in house reporting solutions, i.e. Tableau, MS SQL Server and Oracle.
  • Experience with reports, dashboards, scorecards using Microsoft SSRS, SSAS, and MDX in a data warehousing environment.
  • Strong analytical, multi-tasking and problem-solving skills.
  • Demonstrated experience in requirements gathering and using relational databases.
  • Ability to perform detailed data analysis (i.e. determine the structure, content, and quality of the data through examination of source systems and data samples).
  • Good visual aesthetic sense relative to report development and presentation to the user.
  • Excellent written and verbal communication, facilitation, and customer facing skills
  • Must have a strong customer service orientation and excellent organizational skills.

Preferred Job Qualifications:

  • Experience: Demonstrated pharmacy experience; Proven experience with data engineering tools and healthcare IT systems (e.g., EHRs like Epic or Cerner).
  • Specialized certification(s): Epic Revenue Data Model, Epic Clinical Data Model Certification, Epic Clarity Data Model Certification, Epic Caboodle (Data Warehouse) Data Model Certification, Epic Cogito Certification, Epic Willow Ambulatory Certification, Epic Willow Inpatient Certification.
  • Microsoft SQL Server, Oracle, T-SQL; PL/SQL.
  • Familiarity with ERP information systems.
  • Familiarity with EMR information systems.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.


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