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Pharmacy Data Analytics Jobs in Indiana (NOW HIRING)

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site +1

Develop and implement predictive models, trend detection algorithms, and statistical analyses using weekly claims, pharmacy, lab, and authorization data to identify emerging cost drivers. * Apply ...

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site +1

Develop and implement predictive models, trend detection algorithms, and statistical analyses using weekly claims, pharmacy, lab, and authorization data to identify emerging cost drivers. * Apply ...

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site

Develop and implement predictive models, trend detection algorithms, and statistical analyses using weekly claims, pharmacy, lab, and authorization data to identify emerging cost drivers. * Apply ...

Maxor National Pharmacy Services

The Business Analyst, Pricing and Underwriting , is responsible for the compilation, analysis, and reporting of data to support pricing contracts for Specialty services within a Pharmacy Benefit ...

Maxor National Pharmacy Services

The Business Analyst, Pricing and Underwriting , is responsible for the compilation, analysis, and reporting of data to support pricing contracts for Specialty services within a Pharmacy Benefit ...

Maxor National Pharmacy Services

The Business Analyst, Pricing and Underwriting , is responsible for the compilation, analysis, and reporting of data to support pricing contracts for Specialty services within a Pharmacy Benefit ...

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All JobsPharmacy Data Analytics JobsPharmacy Data Analytics Jobs in Indiana

Pharmacy Data Analytics information

See Indiana salary details

$5

$32

$42

How much do pharmacy data analytics jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for pharmacy data analytics in Indiana is $32.40, according to ZipRecruiter salary data. Most workers in this role earn between $24.23 and $37.74 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 are popular job titles related to Pharmacy Data Analytics jobs in Indiana? For Pharmacy Data Analytics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Pharmacy Data Analytics jobs in Indiana look for? The top searched job categories for Pharmacy Data Analytics jobs in Indiana are:
What cities in Indiana are hiring for Pharmacy Data Analytics jobs? Cities in Indiana with the most Pharmacy Data Analytics job openings:
Pharmacy Data Analytics jobs near you
Infographic showing various Pharmacy Data Analytics job openings in Indiana as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $67,392 per year, or $32.4 per hour.

Healthcare Data Analyst / Healthcare Data Scientist

Real Soft, Inc / Diversity Direct

Indianapolis, IN • On-site

Other

Posted 2 days ago

Job description

Job Description:
- Seeking a Healthcare Data Analyst with 1–3 years of experience in a HIPAA-covered healthcare or pharmacy environment.
- Bachelor''s degree in business, marketing, healthcare administration, data science, or a related discipline
- Analyze pharmacy dispensing, fulfillment, and operational data to support business performance and decision-making.
- Use SQL, Excel, and Python or R to extract, analyze, validate, and automate operational data and reporting.
- Build, maintain, and enhance operational dashboards, KPIs, and performance metrics.
- Ensure data quality, accuracy, and compliance across pharmacy dispensing data sources.
- Generate actionable insights to improve operational efficiency and support cross-functional teams.
- Work closely with Performance Operations analysts to develop reporting, automation, and data validation processes.
- Handle PHI in compliance with HIPAA and adhere to covered-entity data governance and privacy requirements.
- Candidates must be actively coding in SQL and Python/R.
- Ideal candidates have experience with healthcare, pharmacy, claims, or dispensing data, strong analytical skills, and excellent communication abilities.

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