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Pharma Data Analyst Jobs (NOW HIRING)

Merican

Data Analysis Lead

Morristown, NJ · On-site

Data Analysis Lead We are seeking an experienced business analytics leader to drive strategic data ... The ideal candidate must have experience in pharma sales operations data as relevant in the market ...

IQVIA, Inc.

Information Advisor, Large Pharma

Wayne, PA · On-site

$111K - $349K/yr

Define and execute the GTM strategy for pharma data and analytics services. * Develop and maintain ... strong relationships with senior client stakeholders. * Lead proposal development, solution shaping ...

IQVIA

Information Advisor, Large Pharma

Durham, NC

$111K - $349K/yr

Define and execute the GTM strategy for pharma data and analytics services. * Develop ... andmaintainstrong relationships with senior client stakeholders. * Lead proposal development ...

IQVIA

Information Advisor, Large Pharma

Wayne, PA

$111K - $349K/yr

Define and execute the GTM strategy for pharma data and analytics services. * Develop ... andmaintainstrong relationships with senior client stakeholders. * Lead proposal development ...

IQVIA

Information Advisor, Large Pharma

Wayne, PA

$111K - $349K/yr

Define and execute the GTM strategy for pharma data and analytics services. * Develop ... andmaintainstrong relationships with senior client stakeholders. * Lead proposal development ...

IQVIA

Information Advisor, Large Pharma

Durham, NC

$111K - $349K/yr

Define and execute the GTM strategy for pharma data and analytics services. * Develop ... andmaintainstrong relationships with senior client stakeholders. * Lead proposal development ...

Omni Inclusive

BUSINESS ANALYST

San Mateo, CA · On-site

Business Analyst We are looking for a seasoned Pharma Marketing Techno-Functional Domain Expert to ... Own end-to-end data enablement for pharma marketing programs, including ingestion, normalization ...

Merican

Data Analysis Lead

Morristown, NJ · On-site

Position: Data Analysis Lead Location: Morristown NJ Duration: 3+ Months Job Type: Temporary ... The ideal candidate must have experience in pharma sales operations data as relevant in the market ...

Optimized Solutions Inc

Data analyst

Warsaw, IN · On-site

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Optimized Solutions Inc

Data analyst

Warsaw, IN · On-site

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Apolis

Life Sciences Data Modeler

Manhattan, NY · On-site

$60.25 - $78.25/hr

... analytics stakeholders. * * Design and implement Data Vault 2.0 models including Hubs, Links, Satellites, PIT, and Bridge tables for US pharma commercial data. * Develop Business Vault constructs and ...

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Pharma Data Analyst information

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$34K

$82.6K

$136K

How much do pharma data analyst jobs pay per year?

As of Jul 2, 2026, the average yearly pay for pharma data analyst 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 are some typical challenges Pharma Data Analysts face on the job?

Pharma Data Analysts often work with large, complex datasets from clinical trials and real-world evidence, which can present challenges in data integration, cleaning, and ensuring data quality. Additionally, analysts must stay current with evolving industry regulations and standards for data reporting, such as those from the FDA or EMA. Collaborating across different departments—such as clinical research, regulatory affairs, and biostatistics—requires strong communication skills and adaptability. These challenges offer opportunities to develop advanced technical expertise and deepen understanding of drug development processes.

What are the key skills and qualifications needed to thrive in the Pharma Data Analyst position, and why are they important?

To thrive as a Pharma Data Analyst, you need strong analytical skills, a background in life sciences or related fields, and proficiency in statistics and data interpretation. Familiarity with tools such as SQL, SAS, Python, or R, as well as experience with clinical trial databases and certifications like SAS Certified Specialist, are often expected. Excellent attention to detail, effective communication, and the ability to work collaboratively across multidisciplinary teams are valuable soft skills. These competencies ensure accurate analysis and reporting, drive data-driven decisions, and support regulatory compliance in the pharmaceutical industry.

What does a pharmaceutical data analyst do?

A pharmaceutical data analyst collects, manages, and analyzes data related to drug development, clinical trials, and market performance to support decision-making. They use statistical tools and software to identify trends, ensure data accuracy, and generate reports for researchers and management. Strong analytical skills and knowledge of databases and data visualization are essential in this role.

Is 40 too late for data science?

For a Pharma Data Analyst, starting a career in data science at age 40 is feasible, especially with relevant skills in statistics, programming, and data management. Many professionals successfully transition into data roles later in life by gaining certifications and practical experience, making age less of a barrier in this field.

Will AI replace a data analyst?

AI is unlikely to fully replace a Pharma Data Analyst, as the role requires interpreting complex data, understanding industry-specific context, and making strategic decisions that AI cannot fully replicate. Instead, AI tools are expected to augment analysts' capabilities, automating routine tasks and enabling more focus on analysis and insights. Developing skills in data visualization, statistical methods, and AI tools can enhance job performance in this field.

What does a Pharma Data Analyst do?

A Pharma Data Analyst collects, processes, and interprets data related to pharmaceuticals, including clinical trials, sales, and market trends. They use statistical tools and data visualization techniques to identify patterns and insights that support decision-making in drug development, regulatory compliance, and business strategy. Their role helps improve patient outcomes, optimize drug production, and drive business growth.

How to become a pharma data analyst?

To become a pharma data analyst, typically a bachelor's degree in fields like statistics, biology, or data science is required. Developing skills in data analysis tools such as Excel, SQL, and statistical software, along with knowledge of the pharmaceutical industry, is essential. Gaining experience through internships or entry-level roles can also improve job prospects.
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What cities are hiring for Pharma Data Analyst jobs? Cities with the most Pharma Data Analyst job openings:
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Pharma Data Analyst jobs near you
Infographic showing various Pharma Data Analyst job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Pharma Data Analyst

Futran Tech Solutions Pvt. Ltd.

Bridgewater, NJ • On-site

Full-time

Posted 12 days ago

Job description

Pharma Data Analst
Location: BRIDGEWATER,NJ ONISTE from day 1...
Pharma knowledge and SQL experience
• User Acceptance Facilitation
• Business Process Analysis & Improvement
• Business Context Diagram
• Process Flows
• Traceability Matrix
• User Stories
• Test Scenarios/Acceptance Criteria
• URS Document
• Scenarios/Story Board
• Attend Meetings
• Attend Workshop and Design Analysis
• Load user requirements into Jira
• Work with users to write test scripts for TAT/BST/UAT
• Document as-is and to-be business processes to serve as reference for development and IT support
• Explain to business how requirements may be implemented from a functional standpoint
• Work with the business and sprint teams

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