ZipRecruiter

Log In

1

Statistical Programming Intern Jobs in Tampa, FL

Fintech

Data Engineering Intern

Tampa, FL

Basic SQL and Python programming * Understanding of data concepts and terminology * Simple ETL ... Statistics, or related field.) * 0 - 1 years of experience (preferably in Data or BI) About Fintech:

Fintech

Data Engineering Intern

Tampa, FL · On-site

Basic SQL and Python programming * Understanding of data concepts and terminology * Simple ETL ... Statistics, or related field.) * 0 - 1 years of experience (preferably in Data or BI) About Fintech:

Wood Plc

Part Time Engineering Student Intern

Tampa, FL

$15.75 - $20.50/hr

Overview / Responsibilities Wood is currently recruiting a part-time engineering student intern who ... Experience with data management, statistical analysis, and technical writing is a bonus. Key ...

next page

Showing results 1-20

All JobsStatistical Programming Intern JobsStatistical Programming Intern Jobs in Tampa, FL

Statistical Programming Intern information

See Tampa, FL salary details

$13.4K

$83.3K

$161.2K

How much do statistical programming intern jobs pay per year?

As of Aug 31, 2026, the average yearly pay for statistical programming intern in Tampa, FL is $83,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,442.00 and $125,979.00 per year, depending on experience, location, and employer.

What does a statistical programming intern do?

A Statistical Programming Intern assists in analyzing data and creating statistical reports, often using software languages like SAS, R, or Python. They help design and implement data analysis plans, support senior statisticians or data scientists, and ensure data quality and integrity. Their work is crucial in fields like clinical research, finance, and marketing, where data-driven decision-making is essential. Interns gain hands-on experience with real-world datasets and learn best practices in data management and statistical analysis.

What types of projects or tasks can a statistical programming intern expect to work on during their internship?

As a Statistical Programming Intern, you will typically assist with data cleaning, preparation, and analysis for ongoing research or clinical studies. You might be responsible for writing and testing code in SAS, R, or Python to generate tables, listings, and figures, as well as supporting the development of statistical analysis plans. Interns often collaborate closely with biostatisticians, data managers, and clinical teams to ensure high-quality data outputs. This role offers valuable exposure to real-world datasets and best practices in statistical programming, providing a solid foundation for future roles in data science or biostatistics.

What are the key skills and qualifications needed to thrive as a statistical programming intern, and why are they important?

To thrive as a Statistical Programming Intern, you need a solid grounding in statistics, programming (often with R or SAS), and data analysis, typically supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with statistical software, version control systems like Git, and database tools is highly beneficial, alongside any relevant certifications in programming languages or analytics platforms. Attention to detail, analytical thinking, and effective communication are vital soft skills for interpreting data and collaborating with team members. These skills are important because they enable interns to accurately analyze data, contribute to research projects, and support informed decision-making in data-driven environments.

What is the difference between Statistical Programming Intern vs Data Analyst Intern?

AspectStatistical Programming InternData Analyst Intern
Required SkillsProgramming (R, SAS, Python), statistical methodsData analysis, Excel, SQL, visualization
Work EnvironmentPharmaceutical, biotech, or research labsBusiness, marketing, or finance sectors
Typical TasksData cleaning, statistical modeling, programmingData interpretation, reporting, dashboards

Both roles often require programming and data skills, but Statistical Programming Interns focus more on statistical modeling and programming tasks within research environments, while Data Analyst Interns handle broader data analysis and reporting in business settings. They share similar entry-level requirements but differ in industry focus and daily responsibilities.

What are the most commonly searched types of Statistical Programming jobs in Tampa, FL?

The most popular types of Statistical Programming jobs in Tampa, FL are:

What are popular job titles related to Statistical Programming Intern jobs in Tampa, FL?

For Statistical Programming Intern jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Statistical Programming Intern jobs in Tampa, FL look for?

The top searched job categories for Statistical Programming Intern jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Statistical Programming Intern jobs?

Cities near Tampa, FL with the most Statistical Programming Intern job openings:

Statistical Programming Intern jobs near you
Infographic showing various Statistical Programming Intern job openings in Tampa, FL as of August 2026, with employment types broken down into 1% Internship, 77% Full Time, 15% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $83,285 per year, or $40 per hour.

Data Engineering Intern

Tampa, FL

Fintech

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

185th of 247 rated software companies

People enjoy working here

Good employer

Respectful managers

Learn more about Fintechexternal

Full-time

Posted 11 days ago

Job description

Join Fintech in Tampa, Florida as a Data Engineering Intern!

We are looking for a Data Engineer Intern to support our analytics and data platform initiatives. In this role, you will help build and maintain data pipelines, improve data quality, and work closely with engineers and analysts to enable reliable, scalable data solutions.

Essential Functions:

Project Responsibility: Simple Data Transformations and Reports

Technical Competencies:

  • Basic SQL and Python programming
  • Understanding of data concepts and terminology
  • Simple ETL processes and data validation
  • Data quality basics and documentation
  • Introduction to Azure Data Lake and Databricks
  • Basic data visualization with Apache Superset
  • Understanding of financial data and transaction processing

Soft Skills:

  • Attention to detail and accuracy
  • Curiosity about data patterns and insights
  • Ability to follow detailed procedures
  • Basic analytical thinking
  • Willingness to learn complex technical concepts
  • Documentation and organization skills

Qualifications:

  • Current Student or Recent Graduate (preferably Bachelor’s/Master’s in Computer Science, Data Engineering, Statistics, or related field.)
  • 0 – 1 years of experience (preferably in Data or BI)

About Fintech:

For over 35 years, Fintech LLC has redefined how over 1.1 million B2B relationships buy and sell goods and services in the retail, hospitality, and alcohol industries. This integrated platform centralizes invoice data and payments, POS and delivery data, product and cost compliance, price book management, and industry market data using AI, seamless integration capabilities, and proprietary automation technology.

Fintech is a Drug-Free Workplace. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech’s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. We E-Verify.

What Fintech employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply