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Data Analyst Pharmaceutical Jobs (NOW HIRING)

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.

Panelmatic

Data Analyst

Houston, TX

... pharmaceutical, renewables, metals, and utility markets. We also deliver equipment for use ... The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ...

Panelmatic

Data Analyst

Houston, TX · On-site

... pharmaceutical, renewables, metals, and utility markets. We also deliver equipment for use ... The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ...

Panelmatic

Data Analyst

Houston, TX · On-site

... pharmaceutical, renewables, metals, and utility markets. We also deliver equipment for use ... The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ...

Bluesight

Data Analyst

$70K - $82K/yr

... and pharmaceutical manufacturers. We empower our customers to deliver the right medicine to the ... We're looking for a Data Analyst to support the implementation of Bluesight SaaS products for our ...

Bluesight

Data Analyst

OR · Remote

$70K - $82K/yr

... and pharmaceutical manufacturers. We empower our customers to deliver the right medicine to the ... We're looking for a Data Analyst to support the implementation of Bluesight SaaS products for our ...

Bluesight

Data Analyst

OR · On-site +1

$70K - $82K/yr

... and pharmaceutical manufacturers. We empower our customers to deliver the right medicine to the ... We're looking for a Data Analyst to support the implementation of Bluesight SaaS products for our ...

Smash CR

Data Analyst (P-174)

Dallas, TX · On-site

Experience with Microsoft Fabric and within the Pharmaceutical, Life Sciences, or Insurance ... Support data analysis initiatives within Microsoft Azure environments. * Collaborate with technical ...

Smash CR

Data Analyst (P-174)

Dallas, TX · On-site

Experience with Microsoft Fabric and within the Pharmaceutical, Life Sciences, or Insurance ... Support data analysis initiatives within Microsoft Azure environments. * Collaborate with technical ...

PureWay Compliance, Inc

Senior Data Analyst

Katy, TX · On-site

$90K - $100K/yr

We support healthcare providers, pharmacies, governmentagencies, and commercial customers through a ... We are seeking a highly analytical Senior Data Analyst to transform complex business data into ...

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.

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 Aug 28, 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?

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.

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.

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.

How to become a pharmaceutical data analyst?

To become a pharmaceutical data analyst, typically a bachelor's degree in fields like statistics, biology, or data science is required. Gaining skills in data analysis tools such as SQL, Excel, and statistical software, along with understanding pharmaceutical industry regulations, enhances job prospects. Relevant certifications and experience with clinical data or healthcare analytics can also be beneficial.

Will AI replace a data analyst?

AI is unlikely to fully replace data analysts in the pharmaceutical industry, as their role involves interpreting complex data, making strategic decisions, and understanding domain-specific context. Instead, AI tools can augment their work by automating routine tasks and enhancing data analysis capabilities. Success in this field often requires skills in statistical analysis, data visualization, and familiarity with tools like SQL and Python.
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Cities with the most Data Analyst Pharmaceutical job openings:

What states have the most Data Analyst Pharmaceutical jobs?

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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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Data Analyst, Pharmaceutical Industry

Remote

Underscore Marketing
Marketing • 11 - 50 employees
Learn more about Underscore Marketingexternal

$88K - $111K/yr

Full-time

Re-posted 28 days ago

Job description

Job Description: Senior Data Analyst, Pharmaceutical Industry
Job Details: 90%remote position in the United States, 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 Senior 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.
  • Support AI data modeling and machine learning initiatives by preparing, validating, and structuring scalable datasets in collaboration with data science and technology teams.
  • 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
  • Data & Technology

Success Indicators (What good looks like):
  • Bachelor's degree or equivalent work experience
  • Experience working with cloud data warehouses (e.g., Big Query).
  • Demonstrated hands-on experience developing, testing, and refining AI models and machine learning solutions to address business and analytical needs.
  • 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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