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Internship Nba Data Analyst Jobs in Bronx, NY (NOW HIRING)

Skylimit Systems

Data analyst

New York, NY

$60K - $65K/yr

Bachelor's degree in Finance, Economics, Mathematics, Data Analytics, or a related field * 0-3 years of experience in data analysis or a similar role (internships included) * Strong proficiency in ...

Initio Capital

Investment Data Analyst

New York, NY · On-site

$145K - $185K/yr

Job Summary Investment Data Analyst Initio Capital Part-time, Full-time, Contract, Temporary, Internship, Casual Hybrid | New York, NY, United States Investment Data Analyst Initio Capital Location:

Startup Talents

Data Analyst

Manhattan, NY · On-site +1

Contribute to improving data processes, documentation, and best practices Requirements * 1-2+ years of experience in a data analyst, BI analyst, or data-related role (internships and project work ...

Hanwha Techwin America

Data Analyst Intern

Teaneck, NJ · On-site

This internship is an excellent opportunity for a student who is developing strong analytical and technical skills and wants to see how data directly influences customer satisfaction, operational ...

Point72

Sector Analyst, MI-Data

New York, NY

One to five years of prior equity/investment/scientific research or consulting experience, including any relevant internship experience * Comfort with analyzing novel data and explaining concepts to ...

Point72

Sector Analyst, MI-Data

New York, NY · On-site

One to five years of prior equity/investment/scientific research or consulting experience, including any relevant internship experience * Comfort with analyzing novel data and explaining concepts to ...

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Internship Nba Data Analyst information

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$12

$23

$43

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

As of May 28, 2026, the average hourly pay for internship nba data analyst in Bronx, NY is $23.44, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $25.53 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship NBA Data Analyst, and why are they important?

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 are the typical projects and responsibilities for an NBA Data Analyst intern?

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 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 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.

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Internship Nba Data Analyst jobs near you

Data Analyst Internship

FDR Financial Group

New York, NY • Remote

Full-time

Posted 9 days ago

Job description

Description

We are looking for a Data Analyst Intern to join FDR Financial Group, a leading financial services company. As a Data Analyst Intern, you will play a crucial role in analyzing and interpreting complex data sets to help drive business decisions and strategies. This internship offers a valuable opportunity to gain hands-on experience in the financial industry and develop essential analytical skills.

As a Data Analyst Intern at FDR Financial Group, you will work on a variety of projects involving data collection, cleansing, and visualization. Your insights and recommendations will directly impact the company's operations and contribute to its overall success. This role is ideal for individuals interested in data analysis, financial services, and gaining practical experience in a dynamic remote work environment.

Responsibilities:
  • Collect and analyze data to identify trends and patterns.
  • Assist in preparing reports and presentations based on data findings.
  • Collaborate with team members to support data-driven decision-making processes.
  • Conduct quality assurance checks on data to ensure accuracy and reliability.
  • Utilize data visualization tools to present information in a clear and concise manner.
  • Assist in developing and maintaining databases for data storage and retrieval.
  • Support the implementation of data analytics solutions and strategies.
  • Stay updated on industry trends and best practices in data analysis.
Requirements:
  • Pursuing a degree in Data Science, Statistics, Mathematics, Economics, or related field.
  • Strong analytical skills with the ability to interpret complex data sets.
  • Proficiency in data analysis tools such as Excel, SQL, or Python.
  • Excellent attention to detail and accuracy in data interpretation.
  • Ability to work independently and collaboratively in a team environment.
  • Good communication skills to present findings and insights effectively.
  • Basic understanding of financial concepts and terminology is a plus.
  • Strong problem-solving skills and a proactive attitude towards learning.