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Data Analytics Intern Jobs in Melbourne, FL (NOW HIRING)

L3HHCM20

Supply Chain Analyst Intern

Melbourne, FL · On-site +1

$16.75 - $22.50/hr

Supply Chain Analyst Intern Job Schedule: 9/80 Job ID: 38662 Job Location: Melbourne, FL At ... Engineering, Data Analytics, Information Technology, Operations Management, or a related field.

L3Harris

Supply Chain Analyst Intern

Melbourne, FL · On-site

$16.75 - $22.50/hr

Supply Chain Analyst Intern Job Schedule: 9/80 Job ID: 38662 Job Location: Melbourne, FL At ... Engineering, Data Analytics, Information Technology, Operations Management, or a related field.

Reli Group Inc

Power BI Intern

Melbourne, FL · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

L3HHCM20

Intern, Maritime Sector Strategy

Palm Bay, FL

$12.75 - $17/hr

Intern, Maritime Sector Strategy Job Code: 42625 Job Location: Palm Bay, FL Job Schedule: 9/80 ... data analytics, and executive-level reporting Essential Functions: * Support the business ...

FTI Consulting

2027 Intern - Technology

Melbourne, FL · On-site

$14 - $18.50/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

New

L3Harris

Intern, Maritime Sector Strategy

Palm Bay, FL · On-site

$12.75 - $17/hr

Intern, Maritime Sector Strategy Job Code: 42625 Job Location: Palm Bay, FL Job Schedule: 9/80 ... Utilize strong analytical and communication capabilities to support data-driven recommendations and ...

L3 Harris

Manufacturing Engineering Intern

Palm Bay, FL

$14.25 - $18.50/hr

Manufacturing Engineering Intern Job ID: 38484 Job Location: Palm Bay, FL Job Schedule: 9/80 ... Data analytics * Advanced communication skills (written and verbal) L3Harris Technologies is proud ...

L3HHCM20

Intern, Software Engineer

Palm Bay, FL · On-site

Apply computer science, engineering, and mathematical analysis concepts and principles in the ... Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and ...

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All JobsData Analytics Intern JobsData Analytics Intern Jobs in Melbourne, FL

Data Analytics Intern information

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How much do data analytics intern jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data analytics intern in Melbourne, FL is $20.83, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $22.69 per hour, depending on experience, location, and employer.

What does a data analytics intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

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

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are some common challenges data analytics interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

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

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

Can I do a data analytics intern internship?

A data analytics intern internship is typically available to students or recent graduates with skills in data analysis, statistics, and tools like Excel, SQL, or Python. Internships usually have age or educational requirements and may require a resume or interview process. They provide practical experience in data collection, cleaning, and reporting within a professional environment.

What are the most commonly searched types of Data Analytics jobs in Melbourne, FL?

The most popular types of Data Analytics jobs in Melbourne, FL are:

What are popular job titles related to Data Analytics Intern jobs in Melbourne, FL?

For Data Analytics Intern jobs in Melbourne, FL, the most frequently searched job titles are:

What job categories do people searching Data Analytics Intern jobs in Melbourne, FL look for?

The top searched job categories for Data Analytics Intern jobs in Melbourne, FL are:

What cities near Melbourne, FL are hiring for Data Analytics Intern jobs?

Cities near Melbourne, FL with the most Data Analytics Intern job openings:

Data Analytics Intern jobs near you
Infographic showing various Data Analytics Intern job openings in Melbourne, FL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $43,388 per year, or $20.9 per hour.

Supply Chain Analyst Intern

Melbourne, FL • On-site, Remote

L3HHCM20
See more jobs at L3HHCM20external

$16.75 - $22.50/hr

Internship

Posted 4 days ago

Job description

Job Title: Supply Chain Analyst Intern

Job Schedule: 9/80

Job ID: 38662

Job Location: Melbourne, FL

Job Description: 

At L3Harris, our Corporate Supply Chain organization is a high-visibility team focused on leveraging enterprise scale, enabling strategic digital tools, and strengthening supplier relationships across the company. This role sits within the Corporate Capability Center and will play a key role in shaping the future of L3Harris's digital supply chain capabilities. The ideal candidate is intellectually curious, comfortable working with data, and eager to think through complex problems from both a customer and systems perspective. This intern will be encouraged to ask questions, explore data, and help design solutions that improve visibility, decision-making, and operational effectiveness across the supply chain.

 

Key Responsibilities include:

  • Organize, analyze, and interpret datasets originating from ERP systems, data enrichment sources, supplier subcontracting reports, and internal knowledge management systems.
  • Perform in-depth analysis of supplier classifications across the enterprise to identify common suppliers, inconsistencies, and opportunities for standardization.
  • Develop analytical tools, dashboards, or models that improve process efficiency, transparency, and data visibility.
  • Collaborate with Purchasing, Supply Chain, and business segment teams to understand procurement workflows, challenges, and customer needs.
  • Partner with IT and analytics teams to support enhancements to existing tools and help identify opportunities for new digital solutions.
  • Translate data findings into clear insights, recommendations, and visualizations that support business decision-making.
  • Support the Supply Chain AI Council by contributing data-driven insights, exploring innovative ideas, and helping evaluate opportunities to apply analytics and AI to supply chain use cases.

Qualifications

  • To be eligible, applicants must be pursuing a Bachelor's degree in Supply Chain Management, Industrial Engineering, Data Analytics, Information Technology, Operations Management, or a related field.

Preferred Skills

  • Intermediate to advanced Excel skills (e.g., advanced formulas, pivot tables, data validation).
  • Hands-on experience with data and visualization tools such as Tableau, Power BI, or similar platforms.
  • Exposure to scripting or programming languages such as Python, R, C#, Java, or similar.
  • Minimum GPA of 3.0 or higher.
  • Strong analytical mindset with a curiosity for exploring data and understanding how it connects to real business problems.
  • Experience working with both quantitative and qualitative datasets (e.g., financial, performance, or operational data).
  • Ability to synthesize data from multiple sources and identify patterns, trends, and insights.
  • Strong communication and presentation skills, with the ability to explain findings to both technical and non-technical audiences.
  • Ability to work independently while collaborating effectively with cross-functional and remote teams.
  • Demonstrated problem-solving skills with a willingness to propose ideas, challenge assumptions, and think creatively.

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