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Pharmacy Data Analytics Jobs in Riverside, CA (NOW HIRING)

Healthcare Data Analyst

Orange, CA ยท On-site

$85K - $115K/yr

Provide analytics and reporting to MSOs/IPAs and internal teams, including quality, pharmacy, and risk adjustment. * Support regulatory and CMS-related analyses, including encounter data monitoring ...

Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for ... Knowledge of healthcare data sources and how they integrate, including claims, EHR, pharmacy (Rx ...

Pharmacy Technician

Corona, CA ยท On-site

$18 - $22/hr

Uses pharmacy software to check and/record data about prescriptions. * Maintains proper storage and ... Strong mathematical and analytical skills. * Strong listening/reading comprehension.

Pharmacy Technician

Corona, CA ยท On-site

$27/hr

Uses pharmacy software to check and/record data about prescriptions. * Maintains proper storage and ... Strong mathematical and analytical skills. * Strong listening/reading comprehension.

Pharmacy Technician

Corona, CA ยท On-site

$18 - $22/hr

Uses pharmacy software to check and/record data about prescriptions. * Maintains proper storage and ... Strong mathematical and analytical skills. * Strong listening/reading comprehension.

Pharmacy Technician

Corona, CA ยท On-site

$27/hr

Uses pharmacy software to check and/record data about prescriptions. * Maintains proper storage and ... Strong mathematical and analytical skills. * Strong listening/reading comprehension.

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Pharmacy Auditor

Irvine, CA ยท On-site

$21 - $25/hr

Interest in data analysis and reporting Education/Experience: * This position requires a High School Diploma or GED * Bachelor's degree in healthcare administration, pharmacy, or related field ...

... data entry, preparation of medications for patients, counting, and verifying (where allowed by law ... Assists and supports Store Manager and Pharmacy Manager in analyzing and seeking to improve ...

... data entry, preparation of medications for patients, counting, and verifying (where allowed by law ... Assists and supports Store Manager and Pharmacy Manager in analyzing and seeking to improve ...

... data entry, preparation of medications for patients, counting, and verifying (where allowed by law ... Assists and supports Store Manager and Pharmacy Manager in analyzing and seeking to improve ...

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Pharmacy Data Analytics information

See Riverside, CA salary details

$5

$35

$46

How much do pharmacy data analytics jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for pharmacy data analytics in Riverside, CA is $35.52, according to ZipRecruiter salary data. Most workers in this role earn between $26.59 and $41.39 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.
What cities near Riverside, CA are hiring for Pharmacy Data Analytics jobs? Cities near Riverside, CA with the most Pharmacy Data Analytics job openings:
Sr Director, Enterprise Data & Analytics

Sr Director, Enterprise Data & Analytics

Tarsus Pharmaceuticals

Irvine, CA โ€ข On-site

Full-time

Medical, Dental, Vision, PTO

Posted 16 days ago


Job description

About the Role
We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be responsible for expanding and executing the company's enterprise data strategy, analytics capabilities, and driving the adoption of advanced AI and machine learning solutions across commercial and enterprise functions.
The ideal candidate brings deep pharmaceutical and life sciences expertise, hands-on experience with modern cloud data platforms, and the strategic mindset to build world-class data capabilities that enable faster, smarter decision-making across the enterprise.
Let's talk about some of the key responsibilities of the role:
  • Define and own the multi-year enterprise data and analytics strategy, and roadmap aligning closely with the company's commercial and corporate priorities ensuring data capabilities as a competitive differentiator.
  • Serve as a trusted advisor and strategic partner to senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations - translating complex data opportunities into clear business value.
  • Partner with senior leadership team and IT to develop and execute corporate AI strategy and adoption
  • Proactively understand the industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP, predictive modeling and advanced analytics that drive measurable business outcomes.
  • Lead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau), ensuring it robustly supports the organization's advancing analytics and AI workloads.
  • Ensure robust data governance, security, privacy, retention and compliance standards - working in close partnership with Information Security, Legal, and Privacy teams to safeguard all data assets in alignment with HIPAA, GDPR, and other applicable regulations.
  • Direct the strategy and governance for onboarding complex life sciences data ecosystems-including commercial, claims, provider (HCP), and third-party logistics (3PL) streams-into a unified data landscape.
  • Establish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce) using modern, agnostic data exposure frameworks like MCP to drive seamless interoperability.
  • Provide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystems.
  • Serve as the organizational authority and subject matter expert on enterprise data architecture, data integration, and business intelligence-ensuring delivery of high-impact executive insights and robust self-service reporting frameworks.
  • Implement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standards.
  • Lead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partners.
  • Lead and manage IT budgets for all enterprise data and analytics spend.
  • Champion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilities.
  • Develop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellence.

Factors for Success:
  • Bachelor's in computer science, Information systems, Engineering or related field, advanced degrees such as MBA or MS will be a plus.
  • 15+ years of progressive experience in data, analytics, and technology leadership, with a minimum of 5 years in a senior leadership role preferably in a life sciences.
  • Deep pharmaceutical or life sciences industry experience and business acumen with comprehensive understanding of commercial data ecosystems including HCP data, claims data, specialty pharmacy, market access, and patient services from leading data sources and partners.
  • Familiarity with regulatory and compliance requirements relevant to pharmaceutical data (e.g., HIPAA, GDPR, 21 CFR Part 11).
  • Proven track record of building and scaling enterprise data platforms in a cloud environment, with deep technical fluency in data management tools such as Databricks, Snowflake, Microsoft Azure, and AWS and data visualization tools such as Tableau, PowerBI and Spotfire.
  • Experience integrating life sciences CRM and commercial applications - such as Veeva CRM, Veeva Vault, Salesforce, and Salesforce Marketing Cloud - with enterprise data platforms.
  • Proven experience driving the implementation and adoption of Generative AI, predictive modeling, and machine learning capabilities within enterprise systems and data platforms.
  • Exceptional executive communication and storytelling skills with the ability to present complex data strategies to non-technical senior leaders and board-level audiences.
  • Strong financial acumen with experience managing budgets and spending for all data analytics related projects and consultants.
  • Good project management experience to manage large projects in an agile or waterfall framework depending on the type and complexity of the project.
  • A good team player with experience in managing and developing diverse, distributed teams of data professionals.
  • Tarsus Leadership Competencies:
  • Empowering Others - Fosters empowerment by aligning authority with accountability, developing leaders' decision-making capability, and creating systems that support performance and growth.
  • Emotional Intelligence - Foster trust and psychological safety, navigating complex interpersonal dynamics with compassion and accountability, and adapting leadership style to support others while maintaining composure under pressure.
  • Grows Capacity - Builds organizational capacity by developing talent systems, coaching cultures, and strategic partnerships that grow leadership strength and prepare the next generation of leaders.
  • Business Acumen - Demonstrates strong business acumen by anticipating market dynamics and using financial and strategic insight to guide investments, manage risk, and align priorities with long-term organizational value.
  • Innovative Mindset and Action - Demonstrates an innovative mindset by championing new ideas, investing in enabling systems and partnerships, and translating innovation into sustainable growth and organizational resilience.

A Few Other Details Worth Mentioning:
  • The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote candidates with exceptional leadership skills in leading remote teams may be considered.
  • We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact!
  • This position reports directly to VP, Digital & IT
  • Some travel may be required - up to 10%

At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $255,000 - $357,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot.
#LI-Hybrid
Tarsus Pharmaceuticals, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.