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Pharmacy Data Analytics Jobs in Rochester, NY (NOW HIRING)

Analyze data to identify business problems, trends, and process-improvement opportunities * Provide consultation and analytic support for the Pharmacy Division, Health Plan departments, and external ...

New

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 ...

Data Entry Pharmacy Technician

East Rochester, NY · On-site

$16.75 - $20.25/hr

Description We are seeking Experienced Pharmacy Technicians with Data Entry experience to become ... Strong analytical and critical thinking skills * Excellent written and verbal communication skills

Pharmacy Manager

Geneseo, NY · On-site

$112K - $197K/yr

Expertise in analyzing data to enhance pharmacy performance and patient outcomes. * Competence in analyzing financial data to make informed business decisions. * Capability to manage a pharmacy ...

Expertise in analyzing data to enhance pharmacy performance and patient outcomes. * Competence in analyzing financial data to make informed business decisions. * Capability to manage a pharmacy ...

... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ... Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent)

Pharmacy Prior Authorization Technician

Rochester, NY · On-site

$17.25 - $21/hr

... * Assist with data entry and monitoring/researching member profiles for prior authorization ... Work with internal and external customers to identify, analyze and solve difficult situations ...

Posted today

Pharmacy Prior Authorization Technician

Rochester, NY · On-site

$17.25 - $21/hr

... * Assist with data entry and monitoring/researching member profiles for prior authorization ... Work with internal and external customers to identify, analyze and solve difficult situations ...

Posted today

... 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 ...

Assists and supports Pharmacy Manager and Staff Pharmacist in analyzing and seeking to improve pharmacy financial, customer service and inventory performance data; reviewing Rx KPIs with Store ...

Assists and supports Pharmacy Manager and Staff Pharmacist in analyzing and seeking to improve pharmacy financial, customer service and inventory performance data; reviewing Rx KPIs with Store ...

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Pharmacy Data Analytics information

See Rochester, NY salary details

$5

$33

$43

How much do pharmacy data analytics jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for pharmacy data analytics in Rochester, NY is $33.60, according to ZipRecruiter salary data. Most workers in this role earn between $25.14 and $39.13 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 cities near Rochester, NY are hiring for Pharmacy Data Analytics jobs?

Cities near Rochester, NY with the most Pharmacy Data Analytics job openings:

Infographic showing various Pharmacy Data Analytics job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $69,879 per year, or $33.6 per hour.

Pharmacy Analytics Consultant

Rochester, NY • On-site

$100 - $125/hr

Other

Posted 2 days ago

New


Job description

  • Provide direct support for Pharmacy and Medical Drug information needs using analytic tools and applications
  • Work with internal and external stakeholders and management to achieve Pharmacy Markets strategy, growth, compliance, and affordability objectives
  • Analyze data to identify business problems, trends, and process-improvement opportunities
  • Provide consultation and analytic support for the Pharmacy Division, Health Plan departments, and external vendors
  • Research, analyze, and evaluate feasibility of new Pharmacy products and programs
  • Communicate health plan costs, utilization trends, and savings strategies to management, steering committees, and project sponsors
  • Develop and deliver actionable insights to enterprise stakeholders
  • Conduct comparative pricing analyses for pharmacy benefit Requests for Proposal with Sales, Finance, and Actuarial
  • Support strategy development and innovative programs aligned with enterprise and pharmacy goals
  • Support compliance with governmental, contractual, and corporate guidelines and participate in CMS and DOH compliance audits
  • Develop standardized reporting and processes
  • Compile and process complex datasets and provide user-friendly, actionable insights
  • Collaborate with Business Intelligence teams to develop automated reports, dashboards, and cubes
  • Engage external partners and customers, including employer groups, brokers, consultants, providers, and vendors
  • Create strategies to reduce healthcare costs
  • Manage multiple projects with competing deadlines
  • Collaborate with team members and support their growth and development
  • Investigate data issues and proactively communicate concerns to management and business partners
  • Level II: train and mentor analysts, serve as a subject matter expert, and develop data strategies and process efficiencies
  • Level III: optimize reporting tools, connect claims and healthcare management data, and develop predictive cost-savings models with Data Science
  • Level IV: recommend advanced analytic models, perform data mining, conduct complex performance analysis, improve visual analytics, interpret model outputs, assess analytic product upgrades, and prepare studies for publication or national meetings
  • Maintain member privacy, uphold the Corporate Code of Conduct and Lifetime Way values, and meet attendance requirements
Requirements
  • Bachelor’s degree in Mathematics, Statistics, Medical Informatics, Economics, or related field preferred; alternatively, two (2) related years’ experience in data or information analyses and reporting
  • Knowledge and applicable use of analytic tools including SAS, Cognos, Excel, Access, SPSS, DataFlux, AQT, WinSCP, and PuTTY
  • Proficiency in SAS and/or Cognos and Microsoft tools
  • Working knowledge of Microsoft Office Suite
  • Knowledge of basic statistical concepts and strong analytical and problem-solving skills
  • Ability to simplify complex datasets for varied audiences through visual interpretation and highlighting impactful data points
  • Intermediate understanding of healthcare products and operational business knowledge
  • Demonstrated analytic abilities and ability to complete projects with minimal supervision
  • Knowledge of the healthcare system and experience with physician or hospital claims/group data preferred
  • Excellent oral and written communication skills
  • Ability to work collaboratively with internal and external customers and business partners
  • Level II: minimum three years’ analytic experience in the healthcare industry
  • Level II: ability to work with datasets of 2TB or greater and integrate structured and unstructured data across multiple sources
  • Level II: Microsoft Office Suite, VBA, SQL, Power Play, Impromptu, and moderate SAS proficiency
  • Level III: minimum five years’ experience using statistical concepts and tools
  • Level III: demonstrated expertise in relational databases, data mining, forecasting, predictive modeling, and/or actuarial techniques
  • Level IV: minimum three years’ healthcare-specific predictive modeling experience or seven years’ experience in health informatics
  • Level IV: ability to create, develop, and validate models independently
  • Level IV: SAS Base Certification required
  • Level IV: advanced analytic software programming proficiency, including SAS EBI Suite, Information Maps, Stored Processes, Web Report Studio, and Information Delivery Portal
  • Ability to work prolonged periods at a workstation and use a computer
  • Ability to travel across the Health Plan service region for meetings and/or training as needed
Core Competencies

Demonstrates expertise in data analysis and reporting, utilizing tools such as SAS and Cognos to provide actionable insights for healthcare strategies. Proficient in statistical concepts and capable of simplifying complex datasets for diverse audiences while ensuring compliance with healthcare regulations.

Highest-signal resume keywords
  • SAS Proficiency
  • Cognos Expertise
  • Data Analysis
  • Healthcare Industry Knowledge
  • Predictive Modeling
Hard Skills
  • Data Analysis
  • Statistical Concepts
  • Predictive Modeling
  • Data Mining
  • Relational Databases
  • Analytic Tools
  • Reporting
  • Process Improvement
  • Healthcare Claims Analysis
  • Project Management
Soft Skills
  • Excellent Communication Skills
  • Collaborative Teamwork
  • Problem-Solving Skills
  • Mentoring
  • Analytic Abilities
Certifications & Qualifications
  • SAS Base Certification
Industry Keywords
  • Healthcare
  • Pharmacy
  • Compliance
  • Data Strategy
  • Cost-Savings Models
  • Health Informatics
  • CMS Compliance
  • DOH Compliance
  • Healthcare Products
  • Analytic Support
Tools & Technologies
  • SAS
  • Cognos
  • Microsoft Office Suite
  • Excel
  • Access
  • SPSS
  • DataFlux
  • AQT
  • VBA
  • SQL
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