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Internship Nba Data Analyst Jobs in Park Ridge, IL

Benda Infotech

Data Analyst

Chicago, IL

Internship or academic project experience in data analysis or business intelligence. * Experience creating dashboards and executive reports. * Knowledge of KPIs, business metrics, and reporting ...

Unlock Health

Creative Data Analyst

Chicago, IL · On-site

Experience presenting data or project findings (in classrooms, internships, or past roles) with clarity and enthusiasm; you are eager to step into a client-facing spotlight. * Strong analytical ...

Unlock Health

Creative Data Analyst

Chicago, IL · On-site +1

Experience presenting data or project findings (in classrooms, internships, or past roles) with ... Strong analytical skills paired with an appetite for solving puzzles, questioning data anomalies ...

Morningstar, Inc.

Investment Data Analyst

Chicago, IL · On-site

$59K - $87K/yr

Analyze and identify data opportunities through issues and queries. * Review procedures and work ... Minimum two years of work experience (full time or internship) in the financial service industry

tms

Data Analyst Intern

Chicago, IL · On-site

$25/hr

Internship or other experience in HR Analytics, Marketing Analytics or Finance/Business Analytics ... Be able to translate data requirements into easily understood reports And we'd love you to have.

Lake County

Court Research and Data Analyst

Waukegan, IL · On-site

$66K/yr

General Description The Court Research and Data Analyst will be responsible for several duties ... other interns or outside personnel as needed. Work with internal and external teams across all ...

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All JobsNba Data Analyst JobsInternship Nba Data Analyst JobsInternship Nba Data Analyst Jobs in Park Ridge, IL

Internship Nba Data Analyst information

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

As of Sep 1, 2026, the average hourly pay for internship nba data analyst in Park Ridge, IL is $22.14, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $24.13 per hour, depending on experience, location, and employer.

What does an internship NBA data analyst do?

An Internship NBA Data Analyst assists NBA teams or organizations by collecting, cleaning, and analyzing basketball data to help inform decisions related to player performance, team strategy, and game outcomes. They use statistical tools and programming languages like Python, R, or SQL to generate insights from large datasets. Interns may also create data visualizations and reports to communicate findings to coaches, management, or scouting staff. The role is ideal for those interested in sports analytics and looking to gain real-world experience in the NBA environment.

What are the typical projects and responsibilities for an internship NBA data analyst?

As an NBA Data Analyst intern, you can expect to work on projects involving data collection, cleaning, and analysis related to player performance, team statistics, and game trends. Interns often assist with creating data visualizations, preparing reports for coaches or front-office staff, and supporting the team in using analytics to inform strategic decisions. Collaboration is common, as you'll likely work with experienced analysts, basketball operations staff, and sometimes even coaching personnel. These experiences provide valuable exposure to industry-standard tools and methodologies, and can serve as a stepping stone toward full-time roles in sports analytics.

What are the key skills and qualifications needed to thrive as an internship NBA data analyst?

To thrive as an Internship NBA Data Analyst, you need a strong background in statistics, data analysis, and basketball knowledge, typically supported by coursework or experience in data science or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), programming languages like Python or R, and sports analytics databases is highly valued. Strong attention to detail, communication skills, and a collaborative mindset help you interpret data effectively and present insights to diverse stakeholders. These skills are critical for turning complex data into actionable strategies that support team performance and decision-making.

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

AspectInternship Nba Data AnalystNba Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in data science, statistics, or related fieldBachelor's or master's degree in data analysis, statistics, or related field; some roles prefer experience
Work EnvironmentInternship setting, often part-time or temporary, with mentorshipFull-time professional role within NBA teams or sports organizations
Employer & Industry UsageSports teams, sports analytics companies, or NBA internship programsNBA teams, sports analytics firms, or media outlets

The main difference is that an Internship Nba Data Analyst is a temporary, entry-level position aimed at gaining experience, while an Nba Data Analyst is a full-time professional role requiring more experience and responsibility within the NBA industry.

What job categories do people searching Internship Nba Data Analyst jobs in Park Ridge, IL look for?

The top searched job categories for Internship Nba Data Analyst jobs in Park Ridge, IL are:

What cities near Park Ridge, IL are hiring for Internship Nba Data Analyst jobs?

Cities near Park Ridge, IL with the most Internship Nba Data Analyst job openings:

Internship Nba Data Analyst jobs near you
Infographic showing various Internship Nba Data Analyst job openings in Park Ridge, IL as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $46,060 per year, or $22.1 per hour.

Data Analyst

Benda Infotech

Chicago, IL

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

Role Summary

We are seeking a detail-oriented and analytical Data Analyst to join our growing team. The ideal candidate will transform complex data into meaningful insights that support strategic business decisions and improve operational performance. You will work closely with business stakeholders, product teams, and technical teams to analyze data, build dashboards, identify trends, and deliver actionable recommendations.

This is an excellent opportunity for recent graduates and early-career professionals who are passionate about data analytics, business intelligence, and data-driven decision-making.

Key Responsibilities
  • Collect, clean, validate, and analyze large datasets from multiple sources.
  • Develop interactive dashboards and reports using Power BI, Tableau, or similar BI tools.
  • Write efficient SQL queries to extract, manipulate, and analyze data.
  • Perform exploratory data analysis to identify trends, patterns, and business opportunities.
  • Create visualizations that communicate insights to both technical and non-technical stakeholders.
  • Collaborate with cross-functional teams to understand business requirements and deliver analytical solutions.
  • Monitor key performance indicators (KPIs) and prepare recurring business reports.
  • Ensure data accuracy, consistency, and integrity across reporting systems.
  • Automate recurring reports and improve existing reporting processes.
  • Document data models, business rules, and analytical methodologies.
  • Support ad hoc analysis and provide recommendations based on business needs.
Qualifications & Requirements Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Business Analytics, Information Systems, Economics, or a related field.
  • 0–2 years of experience in Data Analytics, Business Intelligence, or Reporting (Recent Graduates are encouraged to apply).
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications
  • Internship or academic project experience in data analysis or business intelligence.
  • Experience creating dashboards and executive reports.
  • Knowledge of KPIs, business metrics, and reporting frameworks.
  • Familiarity with Agile methodologies and project collaboration tools.
  • Exposure to cloud data platforms such as AWS, Azure, or Google Cloud is a plus.
  • Experience working with structured and unstructured datasets is an advantage.
Soft Skills
  • Critical Thinking
  • Analytical Mindset
  • Problem Solving
  • Attention to Detail
  • Communication Skills
  • Time Management
  • Team Collaboration
  • Adaptability
  • Curiosity and Continuous Learning
What We Offer
  • Competitive salary and comprehensive benefits package
  • Annual performance bonus eligibility
  • Medical, dental, and vision insurance
  • Paid holidays and generous paid time off
  • Retirement savings plan with employer contributions
  • Professional development and certification support
  • Mentorship from experienced data professionals
  • Exposure to enterprise-level analytics and business intelligence projects
  • Collaborative and innovative work environment
  • Career growth opportunities