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Pharmacy Data Analytics Jobs in Indiana (NOW HIRING)

System One

Operations Data Analyst

Indianapolis, IN · On-site

$59.69 - $70.22/hr

Hybrid - 3 days onsite Hours: 40.0 Overview Supports pharmacy dispensing and fulfillment operations by developing operational metrics, maintaining reporting, analyzing performance data, and ensuring ...

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Pharmacy Data Analytics information

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$5

$32

$42

How much do pharmacy data analytics jobs pay per hour?

As of Aug 27, 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 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 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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $67,392 per year, or $32.4 per hour.

Data Engineer-Healthcare Practice

Blue and Company

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Posted 28 days ago

Job description

Data Engineer

Blue & Co., LLC is an independent advisory and accounting firm providing tax, audit, and consulting services with a focus on practical, client-centered solutions. We combine deep industry expertise with a collaborative culture to help clients navigate complex financial and operational challenges.

Help Build the Future of Data Consulting

Blue & Co. is making a significant investment in Data & Analytics as a strategic growth initiative for the firm. We are building a modern Data & Analytics practice focused on developing proprietary data products, AI-enabled consulting services, and scalable analytics platforms that help healthcare organizations make better business decisions.

We believe AI is fundamentally transforming how consulting is delivered. Successful candidates will be comfortable leveraging modern AI tools to accelerate analysis, improve code quality, automate repetitive work, and solve complex business problems while exercising sound professional judgment.

While this position will spend most of its time supporting our nationally recognized Healthcare Consulting practice, the solutions you build will help establish scalable capabilities that extend across the entire firm.

This is an opportunity to help shape a rapidly growing practice - not simply support one.

Preferred Locations: Louisville, Indianapolis. Candidates in other Blue & Co., LLC locations will also be considered.

Key Responsibilities 

  • Partner with leadership to architect an enterprise healthcare data ecosystem and develop multi-year technical roadmaps aligned with business objectives.
  • Design reusable data platforms that support multiple healthcare clients rather than one-off solutions.
  • Build frameworks and accelerators that improve delivery speed across consulting engagements.
  • Design, build, and maintain scalable ETL/ELT pipelines to ingest and transform data from diverse internal and external healthcare sources.
  • Perform hands-on data extraction and scripting across hospital EHR systems (Epic, Meditech, CPSI, Cerner, etc.) and financial platforms.
  • Proactively identify opportunities to automate manual data movement and validation tasks to ensure high data integrity and reduced processing times.
  • Implement and monitor data governance and security protocols to ensure all data engineering practices remain PHI/HIPAA compliant.
  • Establish engineering best practices for the broader Data & Analytics team.
  • Partner with Data Analysts and healthcare consultants to bring new analytics products to market.
  • Evaluate emerging AI and data technologies and recommend where they can improve consulting delivery.
  • Provide the vision and hands-on coaching necessary to ensure data analysts are supported in their technical growth and project execution.

Technical Requirements

  • Experience designing and implementing cloud-based data platforms using Microsoft Fabric, Azure, Snowflake, or comparable modern analytics technologies.
  • Deep familiarity with 835/837 claims data, HL7/FHIR standards, and EHR/EMR database structures.
  • Experience handling both structured (relational) and unstructured (JSON, XML, flat file) healthcare data feeds.
  • Advanced SQL development and query optimization skills; proficiency in Python or PowerShell for data automation.
  • Strong understanding of dimensional modeling, Star Schema design, and data lakehouse architecture.

Preferred & Related Skills

  • Experience working in healthcare consulting, reimbursement advisory, or revenue cycle services.
  • Proven ability to navigate clinical, financial, and pharmacy data extracts from complex healthcare environments.
  • Experience creating scalable, reusable healthcare data products that can be deployed across multiple clients.
  • Ability to translate complex infrastructure and data architecture concepts for non-technical consulting leads and client executives.
  • Demonstrated ability to effectively leverage AI tools (Copilot, ChatGPT, Claude, or similar) to accelerate engineering, automate repetitive tasks, optimize code quality, and solve complex technical problems.

Nice to Haves

  • Knowledge of Medicare cost reporting (HCRIS) data structures
  • Familiarity with Prompt Engineering to leverage LLMs for troubleshooting and pipeline optimization.

Education & Experience 

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
  • 5+ years of experience in data engineering, backend architecture, or ETL development.


 We are responsive. We are caring. We are advocates.


Blue & Co., LLC, is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, sex, sexual orientation, gender identity, disability, genetic information, national origin, race, religion, veteran status, or any other protected category.

Candidates must be authorized to work in the U.S. without current or future employer sponsorship.

Agency candidates will not be considered for this position.


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