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Data Analyst Pharmaceutical Jobs (NOW HIRING)

Underscore Marketing

Data Analyst

Data Analyst, Pharmaceutical Industry Job Details : 90%remote position forUS FT Perm W2 employee Travel Requirements: up to 10% domestic travel each year forcompany events and socials Time Zone ...

CYNET SYSTEMS

Data Analyst

Raleigh, NC · On-site

$30 - $35/hr

Should Have: * Knowledge of healthcare, pharmaceutical, pricing transparency, or regulatory ... Data governance and compliance. * Data analysis and trend analysis. * Data visualization.

Inizio Evoke

Data Analyst

Chicago, IL · On-site

$85K - $110K/yr

... and pharmaceutical data is strongly preferred: claims, patient-level, referral, Salesforce notes, syndicated, promotional, market research, web visit, and email data Analytical Thinking • ...

Werfen

Data Analyst

Bedford, MA · On-site

The Data Analyst role will directly support the Hemostasis Applications team by: * Managing reagent ... Minimum 3 years of experience in clinical laboratory, medical device, pharmaceutical, hospital, or ...

Werfen

Data Analyst

Bedford, MA · On-site

The Data Analyst role will directly support the Hemostasis Applications team by: * Managing reagent ... Minimum 3 years of experience in clinical laboratory, medical device, pharmaceutical, hospital, or ...

Werfen

Data Analyst

Bedford, MA · On-site

The Data Analyst role will directly support the Hemostasis Applications team by: * Managing reagent ... Minimum 3 years of experience in clinical laboratory, medical device, pharmaceutical, hospital, or ...

Werfen

Data Analyst

Bedford, MA · On-site

The Data Analyst role will directly support the Hemostasis Applications team by: * Managing reagent ... Minimum 3 years of experience in clinical laboratory, medical device, pharmaceutical, hospital, or ...

Werfen

Data Analyst

Bedford, MA · On-site

The Data Analyst role will directly support the Hemostasis Applications team by: * Managing reagent ... Minimum 3 years of experience in clinical laboratory, medical device, pharmaceutical, hospital, or ...

Leiters Inc

Commercial Data Analyst

Englewood, CO · On-site

$73K - $90K/yr

The Commercial Data Analyst position reports to the Director of Commercial Operations and Customer ... At Leiters Health, we're not just another pharmaceutical company - we're pioneers in the field ...

PSRTEK

Data Analyst at Atlanta, GA

Atlanta, GA · On-site

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.

Stellus RX

Senior Data Analyst

Plano, TX · On-site

$80K - $101K/yr

Join our group of talented, committed team members-pharmacists, pharmacy care coordinators ... The Senior Data Analyst for Stellus Rx will help our communities thrive as a key member of the ...

WIRB-Copernicus Group (WCG)

Senior Data Analyst

Cary, NC · On-site

$80K - $101K/yr

... pharmaceutical R&D clients. Clean, transform, and analyze data with the objective of creating key business insights for our clients and synthesize current business intelligence or trend data to ...

ProSidian Consulting

Survey Data Analyst

Charlotte, NC · On-site

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

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Data Analyst Pharmaceutical information

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How much do data analyst pharmaceutical jobs pay per year?

As of Jul 16, 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 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 does a pharmaceutical data analyst do?

A pharmaceutical data analyst collects, processes, 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 the pharmaceutical industry. Strong analytical skills and knowledge of regulatory standards are essential for this role.

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.

Is a data analyst a high salary?

Data analysts in the pharmaceutical industry typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start lower, while experienced analysts with specialized skills in tools like SQL, Excel, or data visualization can command higher pay. Overall, data analysis is considered a well-paying profession within the healthcare and pharmaceutical sectors.

How much do pharmaceutical analysts make?

Pharmaceutical analysts typically earn between $60,000 and $90,000 annually, depending on experience, education, and location. Entry-level positions may start around $50,000, while experienced analysts with specialized skills or certifications can earn over $100,000. Salary also varies based on the size of the company and the complexity of the data analysis involved.

Is 40 too late for data science?

For a Data Analyst in the pharmaceutical industry, starting a career at 40 is feasible, especially with relevant skills in statistics, programming, and data visualization. Many professionals transition into data roles later in life, and experience in healthcare or related fields can be an advantage. Continuous learning and certifications in tools like SQL, Python, or R can support a successful transition regardless of age.

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:
Data Analyst Pharmaceutical jobs near you
Infographic showing various Data Analyst Pharmaceutical job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

Underscore Marketing

Remote

Full-time

Posted 18 days ago

Job description

Job Description: Data Analyst, Pharmaceutical Industry
Job Details: 90%remote position forUS FT Perm W2 employee
Travel Requirements: up to 10% domestic travel each year forcompany events and socials
Time Zone Preference: USEast Coast
Role Purpose:
The Data Analyst supports pharmaceutical brand, commercial (marketing), and analytics teams by playing a critical technical role connecting healthcare data to media to drive clear, actionable insights. This role requires strong technical analytics skills, rigorous statistical thinking, and the ability to communicate findings in a simple, compelling way to both technical and non-technical stakeholders within the company. The ideal candidate is articulate, collaborative, detail-oriented, and comfortable working with imperfect data and complex data structures to enable advanced analysis, including AI and machine learning applications.
Core Responsibilities:
  • Perform extensive SQL-based data transformations, integrating data from multiple internal and external sources (e.g., claims, media, CRM, EHR-derived datasets).
  • Define, validate, and govern metrics aligned to pharmaceutical business questions (e.g., brand performance, HCP engagement, patient journeys).
  • Apply statistical reasoning to analyze trends, identify drivers of performance, and ensure analytical rigor in insights and recommendations.
  • Maintain and iterate on analytical datasets and workflows as new data is ingested.
  • Conduct thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets.
  • Interpret and translate analytical findings into clear business insights, tailored for stakeholders across marketing, analytics, strategy, and leadership teams.
  • Manually scrub, structure, and normalize data as needed to ensure data quality and analytical readiness, particularly for deep-dive analyses.
  • Prepare datasets to support advanced analytics, including exploratory and explanatory machine learning techniques, ensuring accuracy, consistency, and scalability.
  • Develop data visualizations and dashboards that clearly communicate insights and support decision-making.
  • Collaborate cross-functionally with data science, technology, media, strategy, and client-facing teams to align analyses with business needs.
  • Document methodologies, assumptions, and data limitations to support transparency and reproducibility.

Cross-functional Interfaces:
  • Strategic Solutions
  • Pinnacle Task Force
  • Data

Success Indicators (What good looks like):
  • Bachelor's degree in Analytics, Statistics, Mathematics, Data Science, Economics, or a related field.
  • Experience working with cloud data warehouses (e.g., Big Query).
  • Strong proficiency in SQL, including complex joins, transformations, and performance optimization.
  • Solid foundation in statistics and analytical reasoning (e.g., trend analysis, hypothesis testing, segmentation).
  • Demonstrated experience with exploratory data analysis and working with large, complex datasets.
  • Ability to simplify complex data and insights for diverse audiences.
  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker, or similar).
  • Proven ability to work collaboratively in cross-functional teams.

Preferred Qualifications
  • Experience working with pharmaceutical commercial or media data (e.g., claims, prescription, media, CRM, hub data).
  • Familiarity with AI/ML concepts and data preparation requirements for modeling.
  • Experience using Python or R for analytics and data manipulation.
  • Understanding of pharma compliance, privacy, and data governance considerations.
  • Experience working in a remote setting, collaborating cross-functionally with individuals across teams and in different time zones.

Key Competencies
  • Analytical rigor and attention to detail
  • Business-oriented problem solving
  • Clear and concise communication
  • Comfort working with ambiguous or imperfect data
  • Curiosity and continuous learning mindset
  • Collaboration and teamwork

Interested?
Apply by submitting your resume and a brief note outlining your healthcare or media experience.
Underscore Marketing is a woman-owned, independent agency specializing in life sciences. Since 2002, we've helped clients gain a competitive edge through bold, data-driven promotional strategies that deliver measurable results.
Our team comprises media, strategy, and omnichannel analytics experts who thrive on collaboration, innovation, and results. When you join Underscore, you become part of a dynamic environment where your ideas matter, your growth is supported, and your work helps elevate brands in a competitive healthcare landscape.
If you're passionate about making a difference and want to be part of a team that values integrity, creativity, and results, if that sounds like you, we invite you to share.
Equal Employment Opportunity Statement
Underscore is committed to creating a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable law. We believe that diversity drives innovation and success, and we welcome candidates from all backgrounds to apply.

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