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Data Operations Internship Jobs in Florida (NOW HIRING)

This internship will provide hands-on exposure to customer service operations through projects involving call center analytics, open order reporting, Electronic Data Interchange (EDI) support ...

Customer Service Operations Intern

Fort Myers, FL · On-site

$14.25 - $18.75/hr

This internship will provide hands-on exposure to customer service operations through projects involving call center analytics, open order reporting, Electronic Data Interchange (EDI) support ...

... internship, or academic experience in analytics, finance, operations, reporting, or a related field. * Strong attention to detail and spreadsheet skills. * Ability to organize data from multiple ...

Data Scientist

Orlando, FL · On-site

$107K/yr

Senior Data Scientist (Operations Strategy & Advanced Analytics) Role Overview We are seeking a ... Technical Leadership & Mentorship (10%) • Lead and manage a pipeline of talent, including interns ...

Showing results 21-40

Data Operations Internship information

What does a data operations intern do?

A data operations intern supports the management, processing, and analysis of data within an organization. They often assist with data cleaning, database maintenance, and using tools like SQL or Excel, gaining experience in data workflows and operational procedures. The role typically involves collaborating with data teams and following established data handling protocols.

What are the big 4 internships?

The Big 4 internships typically refer to internship programs offered by Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms are among the largest professional services networks globally and offer internships in areas such as audit, consulting, tax, and advisory, often requiring strong analytical skills and relevant coursework.

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

AspectData Operations InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, often in tech or finance companiesFull-time role in various industries, including tech, finance, healthcare
Employer & Industry UsageUsed for entry-level training, internships, and skill developmentUsed for ongoing data analysis, reporting, and decision support

The Data Operations Internship is an entry-level position focused on gaining practical experience in data management and operations. In contrast, a Data Analyst is a full-time role responsible for analyzing data, creating reports, and supporting business decisions. While both roles require familiarity with data tools, the internship is more about learning and skill development, whereas the analyst role involves applying skills to solve real-world problems.

Is 23 dollars an hour good for an internship?

For a Data Operations Internship, $23 an hour is above the federal minimum wage and can be considered competitive depending on the location and industry standards. Internships often pay less than full-time roles, but this rate suggests a valuable opportunity, especially if it includes skill development in data management tools like Excel or SQL.

What is a Data Operations Internship?

A Data Operations Internship is a temporary position where students or recent graduates gain hands-on experience working with data management, analysis, and operational processes within a company. Interns in this role typically assist with collecting, cleaning, and organizing data, automating data workflows, and supporting data-related projects. This internship provides valuable exposure to tools like SQL, Excel, and data visualization platforms, while helping interns develop problem-solving and analytical skills. It's a great way to learn about the day-to-day responsibilities of data operations teams in various industries.

Is $30 an hour good for an internship?

For a Data Operations Internship, $30 an hour is considered above average, as most internships typically pay between minimum wage and $20 per hour. This rate may reflect specialized skills, industry demand, or competitive compensation for interns with relevant technical knowledge. Interns should also consider the internship's responsibilities, location, and whether additional benefits are included.

What types of projects and tasks can I expect to work on during a Data Operations Internship?

As a Data Operations Intern, you will typically support the management, quality, and movement of data within the organization. Common tasks include cleaning and preparing datasets, assisting with data integrations between systems, monitoring data pipelines for errors, and documenting data processes. You may also collaborate with data engineers, analysts, and business teams to troubleshoot issues and help ensure data accuracy and reliability. This hands-on experience provides valuable insight into real-world data workflows and can help you develop both technical and teamwork skills essential for future data roles.

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

To thrive as a Data Operations Intern, you need foundational skills in data analysis, attention to detail, and proficiency in mathematics or statistics, typically supported by coursework or a degree in a related field. Familiarity with tools such as Excel, SQL, and data visualization platforms, as well as experience with database management systems, is highly beneficial. Strong problem-solving abilities, effective communication, and a collaborative mindset help interns excel in fast-paced, data-driven environments. These skills and qualities enable accurate data handling, support informed decision-making, and contribute to efficient team operations.
What are the most commonly searched types of Data Operations jobs in Florida? The most popular types of Data Operations jobs in Florida are:

Data Science Internship (Governance)

Mitsubishi Heavy Industries Group

Lake Mary, FL • On-site

Other

Posted 24 days ago


Job description

Data Science Associate (Governance)

Company Overview

At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining power generation to accelerate the world's energy transition. We operate as one team, pushing toward our vision of the future. We value problem solvers, prioritize collaboration, and support each other in an inclusive culture built on accountability and authenticity by demonstrating our values: Safety, Family, Innovative, Inclusive, Accountable & Courageous. Together, we're building the future we all aspire to - making net zero a reality.

Role Overview

We are seeking a motivated and analytical Data Science Associate to support Compliance, Legal, Assurance, and Governance functions by embedding data analytics into compliance, risk, and controls activities across the organization. This earlycareer role is designed for candidates interested in applying data science, automation, and emerging technologies to improve assurance effectiveness, enhance control monitoring, and advance the use of continuous, riskfocused oversight.

Key Responsibilities

  • Design, develop, and execute data analytics to support compliance reviews, audits, governance and testing
  • Support planning, risk assessments, fieldwork, reporting, and continuous monitoring through analytics
  • Build repeatable and scalable analytics routines to increase testing coverage, and dashboarding visualization; organize Intranet, policies and procedures and enhance efficiency of such processes
  • Apply automation and analytics tools including Python, Power BI, Microsoft tools, and GenAI-enabled applications
  • Support Compliance, JSOX and controls assurance activities through data extraction, testing, evidence analysis, and remediation validation
  • Evaluate control design and operating effectiveness using data-driven techniques
  • Ensure analytics are traceable, defensible, and aligned with assurance standards
  • Collaborate with Compliance, Legal, Internal Audit, Finance, IT and Operations, stakeholders

Other Duties & Responsibilities

  • Comply with all security, ethics, confidentiality, and data governance requirements
  • Support development of reusable analytics, templates, and documentation to scale analytics capabilities
  • Contribute to continuous improvement initiatives within Compliance, Legal, Assurance and Governance related functions
  • Communicate findings clearly and effectively with peers, management, and stakeholders
  • Maintain the highest level of integrity, professionalism, and accountability
  • Perform other related duties as required

Learning Outcomes

  • Exposure to Compliance, Legal, Internal Audit, risk management, and controls assurance processes
  • Hands-on experience applying data science to real-world business, governance and compliance challenges
  • Development of analytics, automation, and continuous monitoring solutions
  • Experience working cross-functionally with different teams
  • Mentorship and professional development within assurance and analytics disciplines

Requirements

  • Currently enrolled in a Bachelor's or Master's program in Data Science, Computer Science, Statistics, Data Analytics, Software Engineering, or a related field
  • Strong analytical and problem-solving skills with attention to detail
  • Experience with at least one modern programming language; Python preferred
  • Working knowledge of data analysis tools, databases, and Microsoft Office applications
  • Ability to interpret technical and business documentation and communicate findings effectively
  • Adaptable, curious, and proactive mindset with interest in a 1-2 year development experience
  • Ability to meet physical requirements including standing, walking, bending, and lifting up to 25-50 pounds in varying environments

Mitsubishi is an Equal Employment Opportunity (EEO) employer actively seeking to diversify the workforce and is committed to a policy of equal employment opportunity. Therefore, all qualified applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally recognized protected basis under applicable law, are strongly encouraged to apply.