1

Internship Pharma Data Analyst Jobs in Florida (NOW HIRING)

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ... Prior internship or work experience is preferred * Strong intellectual curiosity paired with ...

... such as Information Technology, Pharma, Finance and Accounting, Healthcare, Engineering ... Good communication, analytical and presentation skills, problem solving skills and learning ...

next page

Showing results 1-20

Internship Pharma Data Analyst information

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 internship Pharma Data Analysts, 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.

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 are the most commonly searched types of Pharma Data Analyst jobs in Florida?

The most popular types of Pharma Data Analyst jobs in Florida are:

What are popular job titles related to Internship Pharma Data Analyst jobs in Florida?

For Internship Pharma Data Analyst jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Internship Pharma Data Analyst jobs in Florida look for?

The top searched job categories for Internship Pharma Data Analyst jobs in Florida are:

What cities in Florida are hiring for Internship Pharma Data Analyst jobs?

Cities in Florida with the most Internship Pharma Data Analyst job openings:

Infographic showing various Internship Pharma Data Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

$80K - $101K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Job description

Company Description

VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass.

Job Description

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the broader Data Product and Technology team. The position is responsible for supporting the ongoing operations, enhancement, and maintenance of data products.

In this role, the senior data analyst will contribute to expanding the organization’s analytical and AI capabilities within a fast-paced, innovative environment, playing a key part in developing scalable data products that deliver measurable value to both internal stakeholders and external business partners.

Responsibilities:

  • Design, develop, and implement advanced algorithms and automated analytical pipelines, including clustering (e.g k-means, hierarchical clustering, DBSCAN, HDBSCAN), supervised learning (e.g. linear and logistic regression, decision trees, random forests, gradient boosting, XGBoost), time-series forecasting (e.g. ARIMA, Prophet, LSTM), optimization techniques, and probabilistic models to analyze large, complex, and unstructured datasets.
  • Develop, refine, validate and deploy scalable advanced analytical and statistical models to generate actionable insights for key stakeholders
  • Partner closely with finance, product, pricing, marketing, and data services teams to translate business questions into analytical solutions, productionize models using MLOps best practices, and support the ongoing monitoring, maintenance, and optimization of data products and models.
  • Cleanse, integrate, and validate data from multiple internal and external sources, applying data quality controls, feature engineering techniques, and scalable transformation processes to ensure accuracy, reliability, and analytical readiness.
  • Evaluate and monitor model performance using appropriate metrics, diagnose anomalies and model drift, conduct A/B testing and experimentation, and define, monitor, and optimize KPIs supporting revenue, pricing, and growth initiatives.
  • Leverage modern AI and Generative AI technologies, including large language models (LLMs) and AI-assisted analytics tools, to improve analytical workflows, automate insight generation, and enhance decision-support capabilities.
  • Interpret and clearly communicate analytical findings, model assumptions, and business implications to senior leadership, cross-functional teams, and external clients through concise presentations, visualizations, and technical documentation.
Qualifications
  • Bachelor’s degree is required in Business Analytics, Computer Information Systems, Industrial Engineering, Statistics, Mathematics, Economics, Data Science, or a related field
  • 1+ years of experience in data analytics, business intelligence, data science, or a related analytical role
  • Advanced skills in SQL, Python and/or R
  • Familiarity in visualization tools such as Tableau, Looker, etc.
  • Familiarity in using GitHub for version control, collaborative development, code reviews, CI/CD workflows, and management of analytics and machine learning codebases.

Desired Characteristics:

  • Experience in pricing and/or marketing analytics is preferred
  • Familiarity in Media, News and/or Entertainment content is preferred
  • Prior internship or work experience is preferred
  • Strong intellectual curiosity paired with excellent problem-solving and quantitative skills, including the ability to decompose complex problems, identify root causes, and recommend effective solutions.

Additional Requirements:

  • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Must be willing to work in the Orlando, FL office.  Travel may be required for this position for company or department meetings.
  • This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com.

VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc.

VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.