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

Enfinity Global

Corporate Finance Intern

Miami, FL · On-site

$17 - $22.25/hr

... data room content Help manage investor and lender communications, tracking outreach, follow-ups ... scenario analysis, valuation support, and recurring reporting models Perform ad hoc financial ...

Hitachi, Ltd.

Intern - Inside Sales (Miami)

Miami, FL · On-site

$14.25 - $19.25/hr

Analytical and detail-oriented, with a customer-focused mindset. * Proactive and open to feedback ... Candidate data is processed in accordance with applicable data protection and employment laws as ...

Together Group

Lifestyle Intern - Fall

Miami, FL

... viewership data, and calculating the estimated value * Conduct industry research to identify ... Analyze the influencer landscape to identify targets for ongoing campaigns and events * Compile ...

Turner Construction

Safety Intern - South Florida

Miami, FL · On-site

$14.25 - $19.25/hr

... Job Hazard Analyses, training records, tool box meetings, maintenance of the OSHA 300 log ... Proficient computer and data entry skills, Microsoft Office suite of applications, and ...

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

Data Analytics Intern information

See Homestead, FL salary details

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How much do data analytics intern jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics intern in Homestead, FL is $20.67, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.55 per hour, depending on experience, location, and employer.

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 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 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?

A data analytics intern position is typically available to students or recent graduates with skills in data analysis, statistics, and tools like Excel, SQL, or Python. Applicants usually need to demonstrate analytical abilities and may be required to work part-time or full-time during a specific internship period.
What job categories do people searching Data Analytics Intern jobs in Homestead, FL look for? The top searched job categories for Data Analytics Intern jobs in Homestead, FL are:
What cities near Homestead, FL are hiring for Data Analytics Intern jobs? Cities near Homestead, FL with the most Data Analytics Intern job openings:
Data Analytics Intern jobs near you
Infographic showing various Data Analytics Intern job openings in Homestead, FL as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $43,003 per year, or $20.7 per hour.

Corporate Finance Intern

Enfinity Global

Miami, FL • On-site

$17 - $22.25/hr

Internship

Re-posted 20 days ago

Job description

About Enfinity Global

Enfinity Global is a renewable energy company that develops, builds, owns, and operates solar, storage, and wind projects across multiple continents. The company is in an active growth phase, currently executing a major capital raise and expanding its global portfolio of operating and development-stage assets.

About the Role

The Corporate Finance team is responsible for raising capital, evaluating investments, and supporting the strategic planning that enables the company's growth. This covers everything from institutional fundraising and lender relationships to Investment Committee processes and company-level financial modeling.

This intern will sit within that team, reporting directly to the Director of Corporate Finance. The role is assistance-based - you will support senior team members across live workstreams - but it is designed to give you genuine hands-on exposure to how capital decisions get made at a growth-stage energy company. You will work on real deliverables, handle real investor materials, and see the full lifecycle of transactions and investment approvals. The role is flexible and ongoing, not limited to a fixed summer window.

Responsibilities

        Assist with the preparation and maintenance of investor-facing materials for the company's capital raise, including teasers, presentations, and data room content

        Help manage investor and lender communications, tracking outreach, follow-ups, and information requests across the fundraising process

        Support due diligence workflows and coordinate responses to incoming requests from institutional investors and financial advisors

        Assist with the coordination and review of Investment Committee submissions, including IC memos, supporting exhibits, and approval packages - gaining direct visibility into how project-level capital allocation decisions are made

        Participate in hands-on financial modeling work at the company level, including scenario analysis, valuation support, and recurring reporting models

        Perform ad hoc financial analysis and reporting across the platform as needed, supporting cross-functional coordination between finance, legal, and development teams

        Help build, test, and refine AI-powered workflows and tools to improve team efficiency - from document generation to data extraction to investor tracking

        Assist in evaluating new AI capabilities as they become available, helping the team stay current on what tools can practically improve day-to-day finance operations

Requirements

        Currently pursuing or recently completed a degree in finance, economics, engineering, mathematics, or another quantitative or STEM discipline - non-traditional academic backgrounds are welcome if paired with relevant skills

        Some financial modeling experience preferred (Excel-based DCF, scenario analysis, or similar); you don't need to be an expert, but baseline comfort with spreadsheets and financial logic is important

        Clear, precise written communication - you'll help prepare materials that go to institutional investors and senior leadership

        Familiarity with AI tools (Claude, ChatGPT, Copilot, or similar) and an interest in applying them to real workflows, not just casual use

        Self-directed work style - able to take a loosely defined task and deliver a structured output without heavy supervision

        Prior experience or interest in energy, infrastructure, or project finance is a plus but not required

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