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Internship Jr Data Analyst Jobs in Florida (NOW HIRING)

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ... Prior internship or work experience is preferred * Strong intellectual curiosity paired with ...

The SampleIQ Analyst, Jr - DTP will be responsible for analyzing daily DTP order queues in order to ... Manage incoming DTP order data from external vendor and address exceptions identified by our data ...

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Internship Jr Data Analyst information

See Florida salary details

$8

$18

$34

How much do internship jr data analyst jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for internship jr data analyst in Florida is $18.52, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $20.29 per hour, depending on experience, location, and employer.

What does an Internship Jr Data Analyst do?

An Internship Jr Data Analyst assists with collecting, cleaning, and analyzing data to help organizations make informed decisions. They typically work under the supervision of senior analysts, learning how to use various data analysis tools and software. Interns may be involved in creating reports, visualizing data, and supporting ongoing projects. This role provides hands-on experience and helps interns develop practical skills in data management and analytics.

What are the key skills and qualifications needed to thrive as an Internship Jr Data Analyst?

To thrive as an Internship Jr Data Analyst, a solid understanding of statistics, data cleaning, and foundational knowledge of data analysis—often gained through coursework in mathematics, computer science, or a related field—is essential. Familiarity with tools like Microsoft Excel, SQL, and introductory programming languages such as Python or R, as well as experience with data visualization software, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These competencies are crucial for producing accurate analyses, supporting business decisions, and contributing positively to team projects in a fast-paced environment.

What are some typical projects or tasks an Internship Jr Data Analyst might work on during their internship?

As an Internship Jr Data Analyst, you can expect to work on a variety of projects such as cleaning and organizing large datasets, building basic reports and dashboards, and assisting with data visualization efforts. You'll often support senior analysts by preparing data for analysis, running queries, and helping to identify trends or patterns. Collaboration with team members from other departments, such as marketing or operations, is common as you provide insights or help answer business questions. This hands-on experience is valuable for developing your technical skills and understanding how data-driven decisions are made within an organization.

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

AspectInternship Jr Data AnalystData Analyst
Required CredentialsTypically pursuing or recently completed a related degree; no extensive certifications neededBachelor's degree in data-related field; certifications like SQL, Excel, or data analysis tools are common
Work EnvironmentInternship setting, often in a corporate or tech company, supervised by senior staffFull-time professional role, often in teams handling data projects independently or collaboratively
Employer & Industry UsageUsed by companies for training and entry-level talent development in industries like finance, tech, marketingFull-fledged role in various industries including finance, healthcare, marketing, and technology

The main difference between an Internship Jr Data Analyst and a Data Analyst is the experience level and scope of responsibilities. Internships are designed for learning and gaining initial exposure, while Data Analysts handle more complex data tasks independently. Interns often work under supervision, whereas Data Analysts operate as part of a professional team with greater autonomy.

What cities in Florida are hiring for Internship Jr Data Analyst jobs?

Cities in Florida with the most Internship Jr Data Analyst job openings:

Infographic showing various Internship Jr Data Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $38,517 per year, or $18.5 per hour.

$80K - $101K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Job description

Company Description

VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass.

Job Description

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the broader Data Product and Technology team. The position is responsible for supporting the ongoing operations, enhancement, and maintenance of data products.

In this role, the senior data analyst will contribute to expanding the organization’s analytical and AI capabilities within a fast-paced, innovative environment, playing a key part in developing scalable data products that deliver measurable value to both internal stakeholders and external business partners.

Responsibilities:

  • Design, develop, and implement advanced algorithms and automated analytical pipelines, including clustering (e.g k-means, hierarchical clustering, DBSCAN, HDBSCAN), supervised learning (e.g. linear and logistic regression, decision trees, random forests, gradient boosting, XGBoost), time-series forecasting (e.g. ARIMA, Prophet, LSTM), optimization techniques, and probabilistic models to analyze large, complex, and unstructured datasets.
  • Develop, refine, validate and deploy scalable advanced analytical and statistical models to generate actionable insights for key stakeholders
  • Partner closely with finance, product, pricing, marketing, and data services teams to translate business questions into analytical solutions, productionize models using MLOps best practices, and support the ongoing monitoring, maintenance, and optimization of data products and models.
  • Cleanse, integrate, and validate data from multiple internal and external sources, applying data quality controls, feature engineering techniques, and scalable transformation processes to ensure accuracy, reliability, and analytical readiness.
  • Evaluate and monitor model performance using appropriate metrics, diagnose anomalies and model drift, conduct A/B testing and experimentation, and define, monitor, and optimize KPIs supporting revenue, pricing, and growth initiatives.
  • Leverage modern AI and Generative AI technologies, including large language models (LLMs) and AI-assisted analytics tools, to improve analytical workflows, automate insight generation, and enhance decision-support capabilities.
  • Interpret and clearly communicate analytical findings, model assumptions, and business implications to senior leadership, cross-functional teams, and external clients through concise presentations, visualizations, and technical documentation.
Qualifications
  • Bachelor’s degree is required in Business Analytics, Computer Information Systems, Industrial Engineering, Statistics, Mathematics, Economics, Data Science, or a related field
  • 1+ years of experience in data analytics, business intelligence, data science, or a related analytical role
  • Advanced skills in SQL, Python and/or R
  • Familiarity in visualization tools such as Tableau, Looker, etc.
  • Familiarity in using GitHub for version control, collaborative development, code reviews, CI/CD workflows, and management of analytics and machine learning codebases.

Desired Characteristics:

  • Experience in pricing and/or marketing analytics is preferred
  • Familiarity in Media, News and/or Entertainment content is preferred
  • Prior internship or work experience is preferred
  • Strong intellectual curiosity paired with excellent problem-solving and quantitative skills, including the ability to decompose complex problems, identify root causes, and recommend effective solutions.

Additional Requirements:

  • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Must be willing to work in the Orlando, FL office.  Travel may be required for this position for company or department meetings.
  • This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com.

VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc.

VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.