ZipRecruiter

Log In

1

Summer Nfl Data Analytics Jobs (NOW HIRING)

Bluebonnet Trading LLC

Be Seen First

Summer Internship - Agentic Operations & Data Analyst

Katy, TX · Remote

$10 - $20/hr

Summer Internship - Agentic Operations & Data Analyst Position Summary Bluebonnet Trading LLC is ... Key Responsibilities Data Analytics & Business Intelligence * Assist in developing AI models to ...

New

next page

Showing results 1-20

All JobsSummer Nfl Data Analytics Jobs

Summer Nfl Data Analytics information

See salary details

$57

$59

$60

How much do summer nfl data analytics jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for summer nfl data analytics in the United States is $59.24, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $59.86 per hour, depending on experience, location, and employer.

How to become an analyst for an NFL team?

To become an NFL team analyst, candidates typically need a strong background in sports analytics, data analysis, or related fields, often holding a bachelor's degree in statistics, data science, or a similar discipline. Gaining experience with data analysis tools like SQL, Python, or R, and understanding football strategies and metrics are essential. Internships or entry-level roles in sports organizations can provide valuable industry experience and networking opportunities.

What is the difference between Summer Nfl Data Analytics vs Summer Sports Data Analysis?

AspectSummer Nfl Data AnalyticsSummer Sports Data Analysis
Required CredentialsBachelor's in Data Science, Sports Management, or related fields; knowledge of NFL dataBachelor's in Data Science, Sports Management, or related fields; general sports data knowledge
Work EnvironmentNFL teams, sports analytics firms, or media companies during summer internshipsVarious sports organizations, media outlets, or analytics firms during summer internships
Industry UsageSpecifically focused on NFL data and game analysisBroader sports industry, including multiple sports leagues and events

Summer Nfl Data Analytics involves analyzing NFL-specific data to support team strategies, player performance, and game insights, whereas Summer Sports Data Analysis covers a wider range of sports data across multiple leagues. Both roles require similar educational backgrounds and work environments but differ in their focus on NFL versus broader sports data.

How to get into data analysis in football?

To pursue a career as a summer NFL data analyst, develop strong skills in statistics, programming (such as Python or R), and data visualization tools. Gaining experience with sports data, understanding football strategies, and obtaining relevant certifications or degrees in data science or sports management can improve your prospects.

How much does NFL data analytics make?

NFL data analytics professionals typically earn between $60,000 and $120,000 annually, depending on experience, education, and the level of responsibility. Entry-level roles may start lower, while experienced analysts or those in senior positions can earn higher salaries, especially with specialized skills in data modeling and sports analytics tools.

Do NFL teams hire data analysts?

Yes, NFL teams hire data analysts to evaluate player performance, develop strategies, and improve decision-making using statistical analysis and data visualization tools. These roles often require knowledge of sports analytics, programming skills, and familiarity with sports data sources. Data analysts in the NFL contribute to team success by providing insights based on large datasets and advanced analytics.
More about Summer Nfl Data Analytics jobs
What cities are hiring for Summer Nfl Data Analytics jobs? Cities with the most Summer Nfl Data Analytics job openings:
What are the most commonly searched types of Nfl Data Analytics jobs? The most popular types of Nfl Data Analytics jobs are:
What states have the most Summer Nfl Data Analytics jobs? States with the most job openings for Summer Nfl Data Analytics jobs include:
What job categories do people searching Summer Nfl Data Analytics jobs look for? The top searched job categories for Summer Nfl Data Analytics jobs are:
Summer Nfl Data Analytics jobs near you
Infographic showing various Summer Nfl Data Analytics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,210 per year, or $59.2 per hour.

Summer Internship - Agentic Operations & Data Analyst

Bluebonnet Trading LLC

Katy, TX • Remote

$10 - $20/hr

Temporary

Posted 2 days ago

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.

Job description

Summer Internship – Agentic Operations & Data Analyst


Position Summary

Bluebonnet Trading LLC is seeking a motivated AI and Software Engineering Intern to help develop intelligent automation, data analytics, and AI-driven business systems supporting our multi-platform e-commerce operations. This internship provides hands-on experience designing agentic AI solutions, building automation workflows, analyzing business data, and developing software that supports real business operations. Training and mentorship will be provided in areas where the successful candidate has limited experience.


Key Responsibilities


Data Analytics & Business Intelligence

  • Assist in developing AI models to analyze product performance, sales trends, sourcing opportunities, pricing, and inventory turnover.
  • Help create reports and dashboards that provide actionable business insights.

AI Automation & Agentic Systems

  • Assist with the design and implementation of AI agents and intelligent automation workflows.
  • Work with OpenAI APIs, large language models (LLMs), and workflow automation tools under mentorship.

Listing Automation

  • Help develop AI systems that convert product photographs into optimized marketplace listings.
  • Participate in improving AI-assisted listing generation workflows.

Inventory Management

  • Assist with inventory tracking, reporting, and process improvement initiatives.

AI Marketing

  • Support creation of AI-generated product descriptions, marketing copy, images, and promotional content.

Software Development

  • Participate in the design, development, testing, and maintenance of internal software applications using modern development practices.

Special Projects

  • Contribute to technology and process improvement projects as assigned.

Required Qualifications

  • Graduate from accredited institute, or currently pursuing a Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, Information Systems, or a related field.
  • Strong programming aptitude.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Eagerness to learn new technologies and contribute in a collaborative environment.

Preferred Qualifications

  • Exposure to machine learning, deep learning, or data analytics.
  • Familiarity with OpenAI APIs, LLMs, or generative AI.
  • Exposure to workflow automation platforms (n8n, Make, Zapier, or similar).
  • Experience with SQL, Git/GitHub, or REST APIs.
  • Interest in e-commerce, inventory systems, or business analytics.
  • Experience with Power BI, Tableau, or similar tools is a plus.
  • Bilingual candidates are encouraged to apply.

What You'll Learn

  • OpenAI APIs and Large Language Models
  • Agentic AI and intelligent workflow automation
  • AI-assisted software development
  • Business intelligence and data analytics
  • Inventory and warehouse management concepts
  • AI-powered marketing content creation
  • Professional software engineering and collaborative Git workflows
  • Applying AI to solve real-world business problems

Ideal Candidate

We are looking for a curious, self-motivated student who enjoys solving real-world problems with technology. Prior experience with AI, automation, or e-commerce is beneficial but not required. We value strong technical fundamentals, initiative, creativity, and a willingness to learn. The successful intern will receive mentorship while contributing to meaningful production projects.