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Internship Pharma Data Analyst Jobs (NOW HIRING)

Purdue University

Data Analyst

West Lafayette, IN · On-site

Data Analyst City: West Lafayette Job Summary The Institutional Data Analytics + Assessment (IDA+A ... P2: 2+years (a full-time internship may count toward experience) * P3: 4+years * P4: 6+years

Dhalite Inc.

Junior Data Analyst

Boston, MA · On-site

Bachelor s or Master s degree in Computer Science, Information Systems, IT, Data Analytics, Business Analytics, Statistics, or a related field * 0 2 years of experience or relevant internships in ...

Sellers & Associates

Data Analyst

Washington, DC · On-site

Strong internship or project experience may also be considered. * Experience applying analytical ... Experience ensuring data integrity and accuracy and dedication to adhering to security and ...

Sellers & Associates

Data Analyst

Washington, DC · On-site

Strong internship or project experience may also be considered. * Experience applying analytical ... Experience ensuring data integrity and accuracy and dedication to adhering to security and ...

Sellers & Associates

Data Analyst

Plant City, FL · On-site

Strong internship or project experience may also be considered. * Experience applying analytical ... Experience ensuring data integrity and accuracy and dedication to adhering to security and ...

US Tech Solutions

MDM Data Analyst I

Lexington, MA

MDM Data Analyst I Location: Lexington, MA, 02421 Duration: 12-+ Months Description: The MDM Data ... Pharma related preferred Informatica MDM/IDD experience preferred One full cycle of an MDM ...

Sellers & Associates

Data Analyst

Plant City, FL · On-site

Strong internship or project experience may also be considered. * Experience applying analytical ... Experience ensuring data integrity and accuracy and dedication to adhering to security and ...

Noblesoft Technologies

Sr. Pharma Business Analyst

Rahway, NJ · On-site

$93K - $121K/yr

Business Analysis, Data Analytics, Pharma R&D domain experience specially focused in Omics Data products (Genomics, Metagenomics, Proteomics and Metabolomics) Must Have Experience: * Functional ...

AARP

Data Analyst Intern

Washington, DC · On-site

$28/hr

As a Data Analyst Intern, you will have the opportunity to work closely with our dedicated team ... This internship offers a unique blend of responsibilities, allowing you to develop a diverse skill ...

Air

Data Analyst

Arlington, VA

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

Dental Depot

Data Analyst

Oklahoma City, OK · On-site

Experience: 2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable). Experience working with structured ...

Bluebonnet Trading LLC

Be Seen First

Summer Internship - Agentic Operations & Data Analyst

Katy, TX · Remote

$10 - $20/hr

Summer Internship - Agentic Operations & Data Analyst Position Summary Bluebonnet Trading LLC is seeking a motivated AI and Software Engineering Intern to help develop intelligent automation, data ...

Bluebonnet Trading LLC

Be Seen First

Summer Internship - Agentic Operations & Data Analyst

Katy, TX · Remote

$10 - $20/hr

Summer Internship - Agentic Operations & Data Analyst Position Summary Bluebonnet Trading LLC is seeking a motivated AI and Software Engineering Intern to help develop intelligent automation, data ...

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Internship Pharma Data Analyst information

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$34K

$82.6K

$136K

How much do internship pharma data analyst jobs pay per year?

As of Jul 3, 2026, the average yearly pay for internship 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 is the difference between Internship Pharma Data Analyst vs Pharma Data Analyst?

AspectInternship Pharma Data AnalystPharma Data Analyst
QualificationsEnrolled in or recent graduate of relevant degree (e.g., life sciences, data analysis)Bachelor's or higher in related field, with some experience
Work EnvironmentInternship program, entry-level, training-focusedFull-time professional role, project-driven
Industry UsageTypically part of training or educational programRegular employment in pharmaceutical companies or healthcare organizations
Search & Comparison IntentUnderstanding entry-level opportunities and learning rolesSeeking experienced roles with more responsibilities

The main difference between an Internship Pharma Data Analyst and a Pharma Data Analyst is experience level and employment status. Internships are training-focused, entry-level positions for students or recent graduates, while Pharma Data Analysts are full-time professionals with more experience handling data projects in the pharmaceutical industry.

What does an Internship Pharma Data Analyst do?

An Internship Pharma Data Analyst supports pharmaceutical companies by collecting, organizing, and analyzing healthcare and drug-related data. Their work helps teams make informed decisions about drug development, clinical trials, and market trends. Interns often use statistical software and databases to interpret data, create reports, and visualize findings. Under supervision, they may also assist with data cleaning and ensure the accuracy of research results.

What are the key skills and qualifications needed to thrive as an Internship Pharma Data Analyst, and why are they important?

To thrive as an Internship Pharma Data Analyst, you need a solid foundation in statistical analysis, data interpretation, and a background in life sciences, pharmacy, or a related field. Familiarity with data analysis tools such as Excel, SQL, R, or Python and experience with clinical trial databases are typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These skills are crucial for accurately analyzing pharmaceutical data, supporting research decisions, and ensuring clear reporting to stakeholders.

What are some common challenges faced by Pharma Data Analyst interns, and how can they be addressed?

Pharma Data Analyst interns often encounter challenges such as learning to handle large, complex datasets and understanding industry-specific regulations like HIPAA. Adapting to specialized software and statistical tools can also be a hurdle. These challenges can be addressed by proactively seeking mentorship from experienced analysts, participating in training sessions provided by the company, and dedicating time to learn about data privacy standards. Collaborating with team members and asking questions will help interns quickly become comfortable with both the technical and regulatory aspects of the role.
More about Internship Pharma Data Analyst jobs
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What are the most commonly searched types of Pharma Data Analyst jobs? The most popular types of Pharma Data Analyst jobs are:
What states have the most Internship Pharma Data Analyst jobs? States with the most job openings for Internship Pharma Data Analyst jobs include:
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Internship Pharma Data Analyst jobs near you
Infographic showing various Internship Pharma Data Analyst job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Temporary. 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.
Data Analyst

Data Analyst

Purdue University

West Lafayette, IN • On-site

Full-time

Retirement

This job post has expired 2 days ago. Applications are no longer accepted.

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

268th of 544 rated colleges and universities

Job description

Req Id: 42215
Job Title: Data Analyst
City: West Lafayette
Job Description:
Job Summary
The Institutional Data Analytics + Assessment (IDA+A) office is seeking a Data Analyst (P@), Senior Data Analyst (P3), or Lead Data Analyst (P4). This role supports high-visibility institutional priorities through advanced analytics, reporting, and strategic insight, enabling leaders to make informed decisions that impact students, faculty, and operations at scale.
In this role, you will contribute to research, statistical analysis, report development, dashboard creation, and evidence-based decision support. Working closely with a broad range of campus stakeholders, you will support data-informed decision-making for both day-to-day operations and broader institutional initiatives.
This position will be filled at the appropriate career level (P2, P3, or P4) based on the selected candidate's skills and experience. Responsibilities, scope, and influence increase with level. All levels emphasize collaboration, teamwork, and the delivery of clear, insightful, actionable, and customer-focused analytics. Depending on level, you will work alongside analytics colleagues (P2), mentor and influence peers (P3), or lead complex initiatives and set analytical standards (P4), while partnering closely with staff in assessment, data engineering, data science, and data governance.
Fully remote and hybrid work options are available.
For full consideration, an attached resume and cover letter are required.
This posting represents multiple vacancies.
Responsibilities
  • P2 (Data Analyst): Executes analyses, builds reports, develops technical skills
  • P3 (Senior): Leads projects, mentors peers, improves data quality and practices
  • P4 (Lead): Drives strategy, leads large initiatives, sets standards across domains

Support Data and Information Needs (All Levels)
  • Deliver timely, accurate routine and ad hoc reports, dashboards, and analyses
  • Create and maintain curated data sets to support reporting and analytics
  • Conduct descriptive, summary, and statistical analyses (e.g., regression, ANOVA)
  • Interpret results and communicate findings clearly to technical and non-technical stakeholders
  • Independently complete analytical projects of increasing complexity based on level

Training, Documentation, and Metadata (All Levels)
  • Author and maintain metadata, data definitions, and technical specifications
  • Contribute to training materials and documentation supporting data fluency
  • Provide system administration support for the Data Cookbook and enterprise metadata tools

Participate in the Purdue Data Community (All Levels)
  • Collaborate with campus data partners to enhance data quality and shared understanding
  • Communicate effectively with stakeholders across functional and technical areas
  • Model best practices in data stewardship, documentation, and responsible data use

Enhance Data Quality and Analytical Standards (P3 & P4)
  • Collaborate with campus partners to improve data quality through enhancements and process improvements
  • Resolve complex data quaity issues spanning multiple subject areas or systems
  • Develop and execute validation plans for new data sets and business intelligence updates
  • Influence adoption of standards, best practices, and consistent analytical approaches

Strategic Partnership & Leadership (P3 & P4)
  • Build deep understanding of functional areas such as Enrollment Management Communications, the Registrar, Admissions, and/or Financial Aid
  • Translate functional needs into tailored analytical solutions
  • Serve as a trusted analytics partner for assigned domains

Leadership & Impact (P4)
  • Lead large, complex, and often ambiguous analytics initiatives with cross-departmental impact
  • Set analytical standards and guide approaches for reporting, validation, and data use
  • Mentor and coach analytics colleagues; review and guide others' work
  • Provide measurable input into planning, prioritization, and strategic initiatives
  • Serve as a subject-matter expert representing IDA+A in campus-wide efforts

What We're Looking For:
  • Bachelor's degree
  • Experience in data extraction, processing, visualization, and analysis:
  • P2: 2+years (a full-time internship may count toward experience)
  • P3: 4+years
  • P4: 6+years
  • Strong communication skills, including presenting findings and maintaining documentation
  • Ability to work effectively with stakeholders at all organizational levels
  • Ability to handle sensitive and confidential data responsibly
  • Experience with BI tools (Tableau preferred)
  • Knowledge of relational databases and reporting tools (SQL and Cognos preferred)
  • Experience conducting statistical analysis (e.g., SAS, SPSS, Minitab)
  • Strong attention to detail, quality, and self-directed work

What Is Helpful:
Applicants are not expected to meet every preferred qualification.
  • Degree in Business, Management, Financial Management, MIS, CIT, Math/Statistics, Behavioral & Social Sciences, or a related field
  • Master's degree
  • Experience with SQL, Tableau, Cognos, SAS, SPSS, Minitab, R. Python, Excel, and PowerPoint
  • Experience supporting higher education data, analytics, or reporting environments
  • Experience using generative AI tools to support analytical workflows (e.g., documentation, exploratory analysis, summarization), with attention to responsible and ethical use

What We Want You To Know:
  • Fully remote and hybrid work options are available
  • This posting represents multiple vacancies
  • For full consideration, an attached resume and cover letter are required
  • Purdue will not sponsor employment authorization for this position
  • A background check is required for employment in this position
  • FLSA: Exempt (Not eligible for overtime)
  • Retirement Eligibility: Defined Contribution Waiting Period
  • Purdue University is an EO/EA University.

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