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Data Analytics Internship Jobs in Decatur, AL (NOW HIRING)

Actalent

Software Test Engineer

Madison, AL

... cause analysis and resolution. * Maintain test scripts, test data, simulators, and laboratory ... Internship, academic, or professional experience testing embedded, real-time, aerospace, defense ...

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All JobsData Analytics JobsData Analytics Internship JobsData Analytics Internship Jobs in Decatur, AL

Data Analytics Internship information

See Decatur, AL salary details

$11

$21

$39

How much do data analytics internship jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data analytics internship in Decatur, AL is $21.10, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $22.98 per hour, depending on experience, location, and employer.

What is a data analytics internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

What are the key skills and qualifications needed to thrive as a data analytics intern?

To thrive as a Data Analytics Intern, you need a solid grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What types of projects do data analytics interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.

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

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

What does a data analytics internship do?

A data analytics internship involves assisting with data collection, cleaning, and analysis to support business decision-making. Interns often use tools like Excel, SQL, or Python and gain experience in data visualization and reporting under supervision. The role provides practical skills in data analysis and understanding of industry-standard software.

What job categories do people searching Data Analytics Internship jobs in Decatur, AL look for?

The top searched job categories for Data Analytics Internship jobs in Decatur, AL are:

What cities near Decatur, AL are hiring for Data Analytics Internship jobs?

Cities near Decatur, AL with the most Data Analytics Internship job openings:

Data Analytics Internship jobs near you

Logistics Development Program

Lakeland Industries

Huntsville, AL • On-site

Full-time

Posted 19 days ago

Job description

About the Role:

The Logistics Development Program is designed to cultivate future leaders in the manufacturing sector by providing comprehensive exposure to all facets of logistics and supply chain management. Participants will engage in rotational assignments across various departments, gaining hands-on experience in inventory control, transportation management, procurement, and distribution strategies. The primary goal is to develop a deep understanding of how logistics operations impact manufacturing efficiency and customer satisfaction. Through this program, candidates will enhance their problem-solving, analytical, and leadership skills to drive continuous improvement initiatives. Ultimately, successful completion of the program prepares individuals for advanced roles in logistics management within the manufacturing industry.

Minimum Qualifications:

Current students pursuing a bachelor’s/master's degree in Supply Chain Management, Business Administration, Industrial Engineering, or a related field.

  • Strong analytical and problem-solving skills with the ability to interpret data effectively.
  • Excellent communication and interpersonal skills to work collaboratively across teams.
  • Proficiency in Microsoft Office Suite, particularly Excel and PowerPoint.
  • Legal authorization to work in the United States.

Preferred Qualifications:

  • Internship or prior experience in logistics, supply chain, or manufacturing environments.
  • Familiarity with enterprise resource planning (ERP) systems such as SAP or Oracle.
  • Knowledge of Lean manufacturing principles and continuous improvement methodologies.
  • Certification in supply chain or logistics (e.g., APICS CPIM, CSCP) is advantageous.
  • Demonstrated leadership experience through academic, extracurricular, or professional activities.

Responsibilities:

  • Participate in rotational assignments across logistics functions including warehousing, transportation, and supply chain planning.
  • Analyze and optimize inventory levels to ensure efficient production flow and minimize costs.
  • Collaborate with cross-functional teams to coordinate inbound and outbound shipments, ensuring timely delivery.
  • Support the implementation of logistics technology solutions to improve tracking and reporting capabilities.
  • Assist in developing and monitoring key performance indicators (KPIs) to measure logistics effectiveness.
  • Contribute to process improvement projects aimed at enhancing operational efficiency and reducing waste.
  • Prepare detailed reports and presentations to communicate findings and recommendations to management.
  • Engage with suppliers and carriers to negotiate contracts and resolve logistical issues.

Skills:

The required skills such as analytical thinking and proficiency with Microsoft Office are essential for daily tasks like data analysis, reporting, and process optimization. Communication skills enable effective collaboration with internal teams and external partners to ensure smooth logistics operations. Preferred skills, including familiarity with ERP systems and Lean principles, enhance the ability to implement technology-driven solutions and continuous improvement initiatives. Leadership and problem-solving capabilities are applied when managing projects and driving efficiency improvements. Together, these skills empower the candidate to contribute meaningfully to the manufacturing logistics function and prepare for future leadership roles.