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Data Analytics Internship Jobs in Miami, FL (NOW HIRING)

Data Protection, A/SA-Evergreen

Miami, FL ยท On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Internship or early-career experience in IT audit, internal audit, public accounting, technology risk, cybersecurity, finance, accounting, or data analytics. * Exposure to audit management tools, GRC ...

Internship or early-career experience in IT audit, internal audit, public accounting, technology risk, cybersecurity, finance, accounting, or data analytics. * Exposure to audit management tools, GRC ...

Construction Technologies Internship

Fort Lauderdale, FL ยท On-site

$14.25 - $18.25/hr

Exposure to reporting, data analysis, or operational metrics is a plus. * Strong attention to ... Internship - Semester-Based (with potential continuation based on interest, performance, and ...

Construction Technologies Internship

Fort Lauderdale, FL ยท On-site

$14.25 - $19/hr

Exposure to reporting, data analysis, or operational metrics is a plus. * Strong attention to ... Internship - Semester-Based (with potential continuation based on interest, performance, and ...

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Data Analytics Internship information

See Miami, FL salary details

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How much do data analytics internship jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data analytics internship in Miami, FL is $21.52, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $23.46 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 are the most commonly searched types of Data Analytics jobs in Miami, FL?

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

What cities near Miami, FL are hiring for Data Analytics Internship jobs?

Cities near Miami, FL with the most Data Analytics Internship job openings:

Infographic showing various Data Analytics Internship job openings in Miami, 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 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $44,770 per year, or $21.5 per hour.

Director of Data Analytics | Financial, Marketing, & Product

Wag Walking

Miami, FL โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

About Us

Wag! Group Co. strives to be the number one platform to solve the service, product, and wellness needs of the modern U.S. pet household. Wag! pioneered on-demand dog walking in 2015 with the Wag! app, offering access to 5-star dog walking, sitting, and one-on-one training from a community of over 500,000 Pet Caregivers nationwide. Additionally, Wag! Group Co. operates Petted, one of the nation’s largest pet insurance comparison marketplaces; Dog Food Advisor, a leading pet food review platform; WoofWoofTV, reaching over 18 million followers with delightful pet content on social media; and maxbone, a digital platform for modern pet essentials, offering superfoods for dogs and stylish, functional products for today’s pet owners. For more information about our company, visit Wag.co. and wagwalking.com


The Role

We're looking for a curious and detail-oriented Director of Data Analytics to support financial, marketing, and product analytics across Wag! and maxbone. We are a consumer e-commerce and subscription business. You will own analytics across Wag!'s marketplace and maxbone's DTC and subscription brands.This is a high impact role designed for someone 8 to 12 years into their analytics career who wants to build broad, hands-on fluency across the business — from revenue and reconciliation work with Finance, to campaign and funnel analysis with Marketing, to usage and engagement metrics with Product. You'll turn data into information, information into insight, and insight into recommendations that stakeholders across the company act on. This role is full-time and in-person 5x a week in our downtown Miami office. Applicants must be legally authorized to work in the United States at the time of hire. This position is not eligible for current or future employment visa sponsorship.


How You’ll Make an Impact

Financial Analytics

  • Support recurring financial reporting, revenue reconciliations, and budget-vs-actual analysis in partnership with Finance and Accounting
  • Validate and reconcile data across billing, payments, and internal systems to ensure accuracy and consistency
  • Help maintain documentation of data sources, definitions, and methodologies used in financial reporting

Marketing & Product Analytics

  • Analyze marketing campaign performance (acquisition, conversion, channel ROI) and build recurring reporting for the Marketing team
  • Track product usage, engagement, and funnel metrics, partnering with Product to surface trends and opportunities
  • Identify patterns, anomalies, and areas for improvement across marketing and product data

Core Responsibilities

  • Collect, clean, and validate data from multiple internal systems
  • Write and optimize SQL queries for data extraction and reporting
  • Build and maintain dashboards and visualizations for Finance, Marketing, and Product stakeholders
  • Interpret data using statistical techniques and translate findings into clear, actionable recommendations
  • Filter and "clean" data by reviewing reports and performance indicators to catch and correct errors


Minimum Paw-lifications

  • Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Business Analytics, Economics, or a related field
  • 8+ years of professional experience in data analysis, reporting, financial analysis, marketing analytics, and/or business intelligence (internships and co-ops count)
  • Working proficiency in SQL and advanced proficiency in Excel (pivot tables, lookups, formulas)
  • Has owned marketing performance analysis, acquisition cost, channel payback, and attribution
  • Foundational understanding of data integrity, reconciliations, and quality control practices
  • Ability to communicate insights clearly to non-technical stakeholders
  • High attention to detail, accuracy, and professionalism
  • Comfortable managing multiple priorities in a fast-paced, ambiguous environment
  • Actively use AI and emerging tools to improve workflows and productivity
  • Strong sense of ownership and eagerness to make an impact across teams
  • Ability to work in-person 5x a week in our downtown Miami office


Purr-furred Paw-lifications

  • Exposure to financial reporting or accounting concepts
  • Familiarity with data visualization tools
  • Experience or coursework in marketing or product analytics
  • Interest in consumer marketplaces, two-sided platforms, or pet/consumer wellness
  • Familiarity with Shopify or a comparable e-commerce stack
  • Background in tech and/or premium consumer goods


Benefits & Purrr-ks

  • Competitive Medical, Dental, and Vision Insurance 
  • Complimentary parking on-site at our downtown Miami office
  • Catered breakfast and lunch daily
  • Monthly Wellness Stipend, and credits for both Wag! and maxbone
  • Life Insurance and Short- and Long-term Disability with Guardian 
  • 401(k) Retirement Plan with Empower and employer match as defined by plan
  • 11 company-paid holidays each year
  • ​​Flexible (no set limit) discretionary paid time off in accordance with the vacation policy outlined in our handbook and subject to your manager’s approval
  • Employees are eligible for paid parental leave, up to 8 weeks for non-birthing parents and 14-16 weeks for birthing parents


Wag! Group Co. is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, lactation, and related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, marital status, or any other characteristic protected by federal, state, or local law.


Applicants must be legally authorized to work in the United States at the time of hire. This position is not eligible for current or future employment visa sponsorship.


We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.