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Pharmacy Data Analytics Jobs (NOW HIRING)

Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable ... POSITION SUMMARY The Manager, Data Analytics plays a crucial role in driving business impact ...

Analytical consultant High skilled functional consultants Experienced understanding PBM trend - pharmacy expenses, program metrics, rebates, business lead with Data experience Leader, strategy ...

... analytics, or a related field. * Experience working with Medicare Advantage plans is highly desirable. * Skills : * Strong analytical skills with proficiency in data analysis tools (e.g., Excel, SQL ...

... cause analysis across pharmacy applications, databases, integrations, APIs, and supporting ... data governance requirements while maintaining data integrity and security. • Monitor system ...

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Pharmacy Data Analytics information

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How much do pharmacy data analytics jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for pharmacy data analytics 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 is data analytics in pharma?

Data analytics in pharma involves analyzing large datasets related to drug development, manufacturing, and patient outcomes to identify patterns, improve decision-making, and optimize processes. Pharmacy data analysts use tools like SQL, Python, or specialized software to interpret clinical, sales, and operational data, supporting evidence-based strategies in the pharmaceutical industry.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts, including those in pharmacy data analytics, analyze complex health data to support decision-making. While AI can automate routine tasks and assist in data processing, human expertise is essential for interpreting results, ensuring data quality, and making strategic recommendations, so the role is unlikely to be fully replaced by AI in the near future.

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.

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.

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.

How to become a data analyst in pharmacy?

To become a pharmacy data analyst, you typically need a bachelor's degree in pharmacy, data science, statistics, or a related field. Gaining skills in data analysis tools like Excel, SQL, and programming languages such as Python or R, along with understanding pharmacy operations and healthcare data, is essential. Certifications in data analytics or healthcare informatics can enhance job prospects.

What does a pharmacy data analyst do?

A pharmacy data analyst collects, analyzes, and interprets healthcare and prescription data to identify trends, improve medication management, and support decision-making. They often use tools like SQL, Excel, and data visualization software, and require knowledge of pharmacy operations and data privacy regulations.

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.
More about Pharmacy Data Analytics jobs
What cities are hiring for Pharmacy Data Analytics jobs? Cities with the most Pharmacy Data Analytics job openings:
What states have the most Pharmacy Data Analytics jobs? States with the most job openings for Pharmacy Data Analytics jobs include:
What job categories do people searching Pharmacy Data Analytics jobs look for? The top searched job categories for Pharmacy Data Analytics jobs are:
Infographic showing various Pharmacy Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $70,823 per year, or $34 per hour.
Manager, Data Analytics

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Empower Pharmacy rating

8.3

Company rating: 8.3 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

11th of 104 rated pharmacies


Job description

Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation's most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we're redefining what's possible in personalized medicine and pharmaceutical manufacturing. We're proud to be recognized as one of Houston's fastest-growing private companies and ranked #116 in Healthcare & Medical on the Inc. 5000 List for 2025.
Our strength is built on four core values: People, Quality, Service, and Innovation. Guided by these principles, we've created a uniquely integrated healthcare platform powered by advanced technology, operational excellence, and a relentless commitment to patient care. From manufacturing and quality control to distribution and customer experience, our teams work together to raise industry standards, expand access to critical medications, and improve outcomes for patients and providers across the country.
At Empower, joining our team means more than starting a new role. It means becoming part of a mission-driven organization that's transforming healthcare at scale. We invest deeply in our people, encourage bold thinking, and create opportunities for growth, leadership, and innovation at every level. Your ideas matter here, your development is supported, and the work you do has a direct impact on the lives of millions.
If you thrive in a fast-moving, purpose-driven environment where innovation, collaboration, and ambition come together, Empower Pharmacy is the place for you. Let's transform healthcare together.
POSITION SUMMARY
The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated data analysis and strategic insights. This position encompasses ownership of extensive data projects, leveraging AI to enhance speed, scale, quality, and decision-making. Aligned with Empower's growth in a 503A/503B environment, the role demands excellence in strategic thinking, execution rigor, and learning agility. This role is pivotal in aligning data analytics strategies with business goals, ensuring compliance, and fostering innovation in a highly regulated landscape. Candidates must demonstrate strong leadership capabilities and the ability to optimize AI as a transformative force multiplier, advancing Empower's competitive edge and operational efficiency.
RESPONSIBILITIES
Data Strategy
  • AI Integration: Develop and implement data analytics strategies that integrate AI to enhance predictive analytics capabilities, improve data quality, and support strategic decision-making across the organization. Collaborate with cross-functional teams to ensure alignment with business objectives and regulatory requirements.
  • Innovation Leadership: Lead the exploration and adoption of cutting-edge AI technologies to drive innovation in data analytics processes. Foster a culture of continuous improvement and learning within the analytics team to maintain competitive advantage in the industry.
  • Strategic Alignment: Ensure data analytics initiatives align with Empower's business goals and regulatory standards. Utilize data-driven insights to inform strategic planning and operational decisions, contributing to the company's growth and compliance in a highly regulated sector.

Team Leadership
  • Mentorship and Development: Provide leadership and mentorship to the data analytics team, fostering a collaborative and high-performance environment. Encourage professional growth and development, ensuring the team possesses the skills necessary to meet evolving business needs.
  • Performance Management: Oversee team performance, setting clear objectives and key results (OKRs) aligned with organizational goals. Implement performance metrics and feedback mechanisms to drive accountability and excellence in execution.
  • Talent Acquisition: Participate in the recruitment and retention of top-tier analytics talent. Ensure the team's competencies align with the strategic demands of the business, cultivating a diverse and inclusive workplace culture.

Operational Excellence
  • Process Optimization: Optimize data analytics processes to improve efficiency and effectiveness, leveraging AI to streamline operations. Implement best practices and continuous improvement initiatives to enhance data analysis capabilities and outcomes.
  • Resource Management: Manage analytics resources, ensuring efficient allocation of tools and technologies. Monitor budgetary constraints and leverage AI-driven solutions to maximize resource utilization and operational efficiency.
  • Regulatory Compliance: Ensure data analytics practices comply with industry regulations and standards. Implement governance frameworks to maintain data integrity, security, and privacy, supporting Empower's commitment to compliance and ethical practices.

Cross-Functional Collaboration
  • Partnership Building: Establish and maintain strong relationships with key stakeholders across the organization. Collaborate with departments such as IT, finance, and operations to align data analytics projects with business priorities and strategic initiatives.
  • Communication and Reporting: Effectively communicate data insights and analytics findings to non-technical audiences. Prepare and deliver executive-level reports and presentations that articulate the value and impact of analytics initiatives on business performance.
  • Project Management: Lead cross-functional data analytics projects, ensuring timely delivery and alignment with business objectives. Utilize AI-driven project management tools to enhance collaboration, track progress, and optimize project outcomes.

KNOWLEDGE AND SKILLS
  • Proficient in data analytics tools and AI-driven platforms, with strong analytical and problem-solving skills.
  • Exceptional leadership and team management abilities, fostering a culture of innovation and continuous improvement.
  • Strong understanding of regulatory compliance within data management and analytics environments.
  • Excellent communication and stakeholder management skills, with the ability to convey complex data insights effectively.

EXPERIENCE AND QUALIFICATIONS
  • Bachelor's degree in Data Science, Business Analytics, or related field; Master's preferred.
  • Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position.
  • Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities.
  • Experience in a highly regulated industry, with a deep understanding of data governance and compliance.

Key Competencies:
  • Customer Focus: Builds trust through customer-centric solutions.
  • Strategic AI: Guides responsible AI adoption and adaptation.
  • Optimizes Work Processes: Drives efficiency with continuous improvement.
  • Collaborates: Partners effectively to achieve shared goals.
  • Resourcefulness: Secures and deploys resources efficiently.
  • Manages Complexity: Simplifies and solves complex challenges.
  • Ensures Accountability: Delivers on commitments with integrity.
  • Situational Adaptability: Adjusts approach to shifting conditions.
  • Communicates Effectively: Tailors messages to diverse audiences.

Values:
  • People: Empowering people defines who we are.
  • Quality: Excellence in every product, every time.
  • Service: Serving others is our highest purpose.
  • Innovation: Advancing care through technology and discovery.

Employee Benefits, Health and Wellness:
We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/
Physical Requirements:
While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.

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