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Data Analyst Pharmaceutical Jobs (NOW HIRING)

RWD Data Analyst

Dallas, TX · On-site

$25 - $35/hr

... pharmaceuticals, medical device, and regulatory functions. Key Responsibilities: Data Analysis ... Solution Development * Analyze Loopback's large-scale healthcare data warehouse (claims, EHR ...

Cardinal Health Sonexus Access and Patient Support helps specialty pharmaceutical manufacturers ... Works with complex datasets to perform exploratory data analysis to provide insights to make ...

... pharmaceuticals, medical device, and regulatory functions. Key Responsibilities: Data Analysis ... Solution Development * Analyze Loopback's large-scale healthcare data warehouse (claims, EHR ...

Data Control Analyst

Morristown, NJ · On-site +1

$27 - $32/hr

This is an excellent opportunity to get your foot in the door with a leading global pharmaceutical ... If Customer Master Data Analyst sounds like something you would be interested in, and you meet the ...

* Strong EHR Data Experience (5+ years) * Must have extensive experience extracting, analyzing, and ... Clinical background (Nurse, Pharmacist, Physician, etc.) * Correctional healthcare experience

Experience working as a data analyst, preferably within pharmaceutical, healthcare or life sciences domain * Understanding of healthcare data such as claims data, sales data, pharmacy sales data etc.

... Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology ... FHIR Data Analyst Type : Contract to Hire Location : Newark, NJ (travel to office 2-4 times/month ...

... Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology ... FHIR Data Analyst Type : Contract to Hire Location : Newark, NJ (travel to office 2-4 times/month ...

... pharmaceutical services. This role designs and builds data transformation workflows, analytical ... datasets, and reporting solutions that enable reliable, scalable analytics across the organization.

... Pharmaceuticals, Banking & Financial Services, Transportation, Federal and State Government ... ProSidian Seeks a Survey Data Analyst (Contract Contingent) in Charlotte, NC / Washington, DC ...

Senior Data Analyst

Rockville, MD · On-site

$87K - $110K/yr

... Pharmaceuticals, Banking & Financial Services, Transportation, Federal and State Government ... ProSidian Seeks a Senior Data Analyst (Contract Contingent) in Rockville, MD to support an ...

Business Data Analyst

Lake Zurich, IL · On-site

$65K - $85K/yr

Job Summary The Business Data Analyst plays a critical role in supporting commercial excellence by ... Knowledge of medical device, hospital/pharmacy products and/or pharmaceutical industry is strongly ...

Job Summary The Business Data Analyst plays a critical role in supporting commercial excellence by ... Knowledge of medical device, hospital/pharmacy products and/or pharmaceutical industry is strongly ...

Sr Data Analyst

Lake Zurich, IL · On-site

$87K - $110K/yr

The Sr. Data Analyst focuses on designing and implementing data-driven solutions to enhance ... Chargeback & Rebate background in the Pharmaceutical Industry desired • SAP experience desired

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Data Analyst Pharmaceutical information

See salary details

$34K

$82.6K

$136K

How much do data analyst pharmaceutical jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data analyst pharmaceutical in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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 and support decision-making in pharmaceutical settings.

What does a Data Analyst do in the pharmaceutical industry?

A Data Analyst in the pharmaceutical industry is responsible for collecting, processing, and interpreting large sets of data related to drug development, clinical trials, and market trends. They help ensure that data from experiments and studies is accurate and meaningful, providing insights that support decision-making for research, regulatory submissions, and business strategies. These analysts often work closely with scientists, clinical teams, and regulatory professionals to ensure data integrity and compliance with industry standards.

What are the key skills and qualifications needed to thrive as a Data Analyst in the pharmaceutical industry, and why are they important?

To thrive as a Data Analyst in the pharmaceutical industry, you need strong analytical skills, a solid understanding of statistics, and a relevant degree in fields like data science, life sciences, or biostatistics. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as knowledge of regulatory compliance systems (e.g., GxP), is commonly required. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting complex data and conveying insights to cross-functional teams. These skills ensure accurate data-driven decision-making, regulatory adherence, and impactful support for research and business objectives.

What is the difference between Data Analyst Pharmaceutical vs Data Scientist Pharmaceutical?

AspectData Analyst PharmaceuticalData Scientist Pharmaceutical
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentData analysis teams, clinical research, manufacturingAdvanced analytics, predictive modeling, R&D
Employer & Industry UsagePharmaceutical companies, biotech firms, healthcare providersPharmaceutical R&D, biotech innovation, clinical trials

While both roles involve working with data in the pharmaceutical industry, Data Analysts focus on interpreting existing data sets to support business decisions, whereas Data Scientists develop complex models and algorithms to predict trends and innovate processes. The roles often overlap but differ in scope and technical depth.

What is the role of a pharmaceutical data analyst?

A pharmaceutical data analyst collects, analyzes, and interprets data related to drug development, clinical trials, and market performance. They use statistical tools and software to identify trends, support decision-making, and ensure data accuracy in a regulated environment.

Is 40 too late for data science?

For a Data Analyst in the pharmaceutical industry, starting a career in data science at age 40 is feasible, especially with relevant skills in statistics, programming, and tools like SQL or Python. Many professionals transition into data science later in their careers, and experience in healthcare or pharmaceuticals can be an asset. Continuous learning and certifications can help accelerate entry into the field regardless of age.

Do pharmaceutical companies need data analysts?

Yes, pharmaceutical companies rely on data analysts to interpret clinical trial data, optimize manufacturing processes, and support regulatory submissions. Data analysts in this field often use tools like SQL, Excel, and statistical software to ensure data accuracy and compliance with industry standards.

How does a Data Analyst in the pharmaceutical industry typically collaborate with cross-functional teams?

Data Analysts in the pharmaceutical sector often work closely with clinical researchers, regulatory teams, and biostatisticians to ensure data integrity and compliance throughout drug development processes. They provide data-driven insights that inform trial design, monitor ongoing studies, and support regulatory submissions. Effective communication and teamwork are essential, as Data Analysts must translate complex data findings into actionable recommendations for various stakeholders. This collaborative environment helps ensure that projects meet both scientific and business objectives while adhering to industry regulations.
More about Data Analyst Pharmaceutical jobs
What cities are hiring for Data Analyst Pharmaceutical jobs? Cities with the most Data Analyst Pharmaceutical job openings:
What states have the most Data Analyst Pharmaceutical jobs? States with the most job openings for Data Analyst Pharmaceutical jobs include:
What job categories do people searching Data Analyst Pharmaceutical jobs look for? The top searched job categories for Data Analyst Pharmaceutical jobs are:
Infographic showing various Data Analyst Pharmaceutical job openings in the United States as of June 2026, with employment types broken down into 68% Full Time, 6% Part Time, and 26% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

RWD Data Analyst

Loopback LLC

Dallas, TX • On-site

$25 - $35/hr

Full-time

Posted 21 days ago


Job description

This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis.
Role Summary
Loopback Health is hiring an innovative and team-oriented RWD Data Analyst who will work closely with Loopback Real World Data and Data Operations teams. This position will give exposure to how healthcare data is used to support clinical research across various Life Sciences stakeholders, including pharmaceuticals, medical device, and regulatory functions.
Key Responsibilities:
Data Analysis & Solution Development
  • Analyze Loopback's large-scale healthcare data warehouse (claims, EHR, pharmacy, etc.) to support answering clinical research feasibility questions across various therapy areas.
  • Assist in developing reporting tools that help non-technical stakeholders understand the data asset.
  • Synthesize and communicate analytical findings to team members.

Cross-Functional Collaboration & Continuous Improvement
  • Collaborate with Sales, Client Success, Product, and Operations teams to improve data quality, documentation, and product features.
  • Gather and document customer feedback to inform future data product development.

Qualifications
Required:
  • Bachelor's degree (completed or working towards) in a quantitative or life sciences field (e.g., Statistics, Bioinformatics, Epidemiology, Computer Science, Pharmacy, Public Health, or related).
  • Exposure to SQL and at least one scripting/statistical language (Python, R).
  • Exceptional problem-solving skills with the ability to break down ambiguous client questions into actionable analyses.
  • Strong communication skills, both verbal and written, with an ability to explain complex data concepts to non-technical audiences.
  • Comfortable working in a fast-paced, cross-functional team environment.

Soft Skills
  • Data-driven and analytically rigorous, with a focus on delivering client value.
  • Creative, resourceful, and comfortable with ambiguity.
  • Strong collaborator who thrives in a team-oriented, rapidly evolving environment.
  • Interest in using AI-assisted tools for data analysis, coding, or workflow efficiency

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.