1

Data Analysis Internship Jobs in Alabama (NOW HIRING)

Reveleer's Applied Analytics Internship Program is designed as a two-summer experience designed for ... Experience with data analysis tools (Python, R, SQL, or similar) * Familiarity with Excel or data ...

Reveleer's Applied Analytics Internship Program is designed as a two-summer experience designed for ... Experience with data analysis tools (Python, R, SQL, or similar) * Familiarity with Excel or data ...

Overview / Responsibilities GIS Analyst Internship Wood is currently recruiting for a GIS Analyst ... The position supports data analysis and mapping on a variety of projects for public and private ...

Digital Analyst Internships

Tuscaloosa, AL

$88.20K - $104.40K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

Digital Analyst Internships

Birmingham, AL

$92.30K - $109.20K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

Digital Analyst Internships

Montgomery, AL

$97.40K - $115.20K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

Digital Analyst Internships

Mobile, AL

$97.70K - $115.60K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

Digital Analyst Internships

Huntsville, AL

$97.70K - $115.50K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

Co-Op/ internship and/ or up to 2 years' professional experience in the following area(s):Managing ... Strong analytical thinking, communication, and problem-solving skills. Project management ...

Co-Op/ internship and/ or up to 2 years' professional experience in the following area(s):Managing ... Strong analytical thinking, communication, and problem-solving skills. Project management ...

next page

Showing results 1-20

Data Analysis Internship information

See Alabama salary details

$10

$20

$38

How much do data analysis internship jobs pay per hour?

As of May 28, 2026, the average hourly pay for data analysis internship in Alabama is $20.40, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $22.21 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analysis Intern, and why are they important?

To thrive as a Data Analysis Intern, you typically need a strong foundation in statistics, analytical thinking, and familiarity with data manipulation, often supported by coursework in mathematics, computer science, or related fields. Proficiency in tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Attention to detail, curiosity, and effective communication skills help interns interpret data accurately and share insights with diverse teams. These abilities are crucial for transforming raw data into actionable insights and supporting informed decision-making within an organization.

What are some common challenges faced during a Data Analysis Internship, and how can I overcome them?

As a Data Analysis Intern, one common challenge is working with large, complex datasets that may have missing or inconsistent information. Learning how to clean and preprocess data efficiently is crucial for meaningful analysis. Another challenge is understanding the business context behind the data, which often requires close collaboration with team members from different departments. To overcome these hurdles, proactively seek guidance from mentors, utilize available documentation, and regularly communicate with stakeholders to clarify project goals and data requirements.

What is a Data Analysis Internship?

A Data Analysis Internship is a temporary position where students or recent graduates gain practical experience in collecting, processing, and interpreting data to help organizations make informed decisions. Interns typically work under the supervision of experienced data analysts and use tools like Excel, SQL, or Python to analyze datasets. The role helps interns develop technical and analytical skills, and often includes tasks such as generating reports, identifying trends, and presenting findings. This internship is valuable for building a foundation in data analysis and can lead to future career opportunities in the field.

What is the difference between Data Analysis Internship vs Data Analyst?

AspectData Analysis InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentInternship programs, entry-level, supervisedFull-time, professional setting, independent responsibilities
Employer & Industry UsageInternship programs in tech, finance, healthcare, etc.Full-time roles across various industries
Search & Comparison IntentLooking for entry-level opportunities, internshipsSeeking full-time data analysis roles

In summary, a Data Analysis Internship is an entry-level, supervised position designed for students or recent graduates to gain experience. A Data Analyst is a full-time professional role requiring more experience and responsibility. Both roles are common in similar industries and often share similar educational backgrounds, but they differ significantly in scope and career stage.

What are the most commonly searched types of Data Analysis jobs in Alabama? The most popular types of Data Analysis jobs in Alabama are:
What are popular job titles related to Data Analysis Internship jobs in Alabama? For Data Analysis Internship jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Data Analysis Internship jobs? Cities in Alabama with the most Data Analysis Internship job openings:
Infographic showing various Data Analysis Internship job openings in Alabama as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $42,427 per year, or $20.4 per hour.
Applied Analytics Intern

Applied Analytics Intern

Reveleer

Auburn, AL • On-site

$25/hr

Internship

Posted 2 days ago


Job description

Applied Analytics Intern

Location: New Albany, Ohio (minimum of 3 days per week in office)

Duration: 20-40 pre-scheduled hours per week for 8-12 weeks

Education: Rising sophomores and juniors in relevant course of study

Reveleer is a healthcare data and analytics company that uses Artificial Intelligence to give health plans across all business lines greater control over their Quality Improvement, Risk Adjustment, and Member Management programs. With one transformative solution, the Reveleer platform enables plans to independently execute and manage every aspect of enrollment, provider outreach and data retrieval, coding, abstraction, reporting, and submissions. Leveraging proprietary technology, robust data sets, and subject matter expertise, Reveleer provides complete record retrieval and review services so health plans can confidently plan and execute risk, quality, and member management programs to deliver more value and improved outcomes.

Role Overview:

Reveleer partners with health plans to power value-based care and risk adjustment programs through advanced analytics, technology, and clinical expertise. Our work ensures accurate documentation, improved patient outcomes, and more efficient healthcare operations.

Reveleer's Applied Analytics Internship Program is designed as a two-summer experience designed for high-potential undergraduate students interested in healthcare analytics, operations, and artificial intelligence.

This program provides hands-on exposure to both operational workflows and advanced analytics, with a focus on developing and testing AI-driven solutions to improve medical record retrieval processes, which is one of the most critical components of risk adjustment.

Details:

Summer 1: Operations + Applied Experimentation

Interns will be embedded within the Medical Record Retrieval team, where they will:

Learn end-to-end retrieval operations and workflows

Participate directly in retrieval activities to build domain expertise

Collaborate with the Applied Analytics team on experimental AI initiatives

Test and evaluate AI tools designed to improve retrieval efficiency

Help define and track key performance metrics (e.g., turnaround time, yield, accuracy)

Document findings and contribute to process improvement recommendations

Summer 2: Analytics + AI Development

Returning interns will transition into the Applied Analytics team, where they will:

Build and maintain data pipelines supporting retrieval and analytics workflows

Develop and refine algorithms and AI tools to optimize retrieval processes

Analyze large healthcare datasets to identify trends and improvement opportunities

Design experiments to measure the impact of AI-driven interventions

Present insights and recommendations to cross-functional stakeholders

What You'll Gain

  • Deep exposure to healthcare data, risk adjustment, and value-based care
  • Hands-on experience applying AI/ML concepts to real-world operational problems
  • Understanding of how analytics drives measurable business impact
  • Mentorship from experienced analytics and operations professionals
  • Opportunity to return for a second summer with expanded technical ownership

Preferred Qualifications (Ideal Candidates)

  • Experience with data analysis tools (Python, R, SQL, or similar)
  • Familiarity with Excel or data manipulation techniques
  • Exposure to statistics, experimentation, or basic machine learning concepts
  • Ability to translate ambiguous problems into structured analyses
  • Curiosity about how operational processes work and how to improve them
  • Interest in applied AI (not just theory, but someone who wants to build and test things)
  • Strong attention to detail and willingness to engage in hands-on operational work
  • Self-starter mindset with a willingness to take initiative and learn quickly


Compensation:

Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

Reveleer E-Verifies all new hires.

Reveleer is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.