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Predictive Analytics Intern Jobs in Indiana (NOW HIRING)

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Predictive Analytics Intern information

What is the difference between Predictive Analytics Intern vs Data Analyst Intern?

AspectPredictive Analytics InternData Analyst Intern
Required SkillsStatistical analysis, programming (Python, R), data modelingData visualization, SQL, basic statistical skills
Work EnvironmentTech companies, finance, marketing teamsBusiness departments, consulting firms, tech companies
Typical TasksBuilding predictive models, analyzing trends, forecastingData cleaning, reporting, creating dashboards

Predictive Analytics Interns focus on developing models to forecast future outcomes using statistical techniques, while Data Analyst Interns primarily analyze and visualize existing data to support decision-making. Both roles require strong analytical skills but differ in their technical focus and project types.

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

To thrive as a Predictive Analytics Intern, you need a solid background in statistics, data analysis, and familiarity with programming languages such as Python or R, often supported by coursework in data science or related fields. Experience with tools like SQL, machine learning libraries (e.g., scikit-learn), and data visualization platforms (such as Tableau or Power BI) is typically expected. Strong problem-solving, attention to detail, and effective communication skills help interns stand out when interpreting and presenting data-driven insights. These competencies are crucial for deriving actionable predictions and supporting business decisions through accurate, well-communicated analyses.

What does a Predictive Analytics Intern do?

A Predictive Analytics Intern assists organizations by analyzing data to forecast future trends and outcomes. They use statistical techniques, machine learning models, and data visualization tools to interpret large datasets and generate actionable insights. Typically, these interns work under the guidance of experienced data scientists or analysts, contributing to projects such as demand forecasting, customer behavior analysis, or risk assessment. Their role also involves cleaning and preparing data, running predictive models, and helping to communicate findings to non-technical stakeholders.

How does a Predictive Analytics Intern typically collaborate with different departments within a company?

As a Predictive Analytics Intern, you will often work closely with teams such as marketing, operations, and IT to gather data, understand business needs, and present analytical findings. Collaboration usually involves attending cross-functional meetings, sharing data-driven insights, and helping stakeholders interpret predictive models for practical decision-making. This role provides valuable exposure to real-world business challenges and helps you develop communication skills that are essential for translating complex analytics into actionable recommendations.
What are the most commonly searched types of Predictive Analytics jobs in Indiana? The most popular types of Predictive Analytics jobs in Indiana are:
What are popular job titles related to Predictive Analytics Intern jobs in Indiana? For Predictive Analytics Intern jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Predictive Analytics Intern jobs in Indiana look for? The top searched job categories for Predictive Analytics Intern jobs in Indiana are:
What cities in Indiana are hiring for Predictive Analytics Intern jobs? Cities in Indiana with the most Predictive Analytics Intern job openings:
Predictive Analytics Intern jobs near you
Infographic showing various Predictive Analytics Intern job openings in Indiana as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Hybrid job distribution.
Indiana Pacers Basketball Analytics Intern - Fall 2026

Indiana Pacers Basketball Analytics Intern - Fall 2026

Pacers Sports & Entertainment

Indianapolis, IN • On-site

$14.25 - $19/hr

Internship

Posted 6 days ago

Job description

Internship Term: Fall 2026 (September- December)
Internship Location: on-site in Indianapolis, IN
Anticipated Time Commitment: approximately 40 hours per week
Pacers Sports & Entertainment is seeking a Basketball Analytics Intern who will work directly with the Indiana Pacers analytics team in support of the front office, training staff, and coaching staff. The overall focus will be on helping improve existing data science and data engineering projects, developing new tools, and maintaining current analytics infrastructure. Experience in sports is not required, but applicants should be passionate about basketball and the data industry.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Develop internal software tools for use by the front office and coaching staff, including but not limited to new reports, predictive models, or data engineering pipelines.
  • Gather, clean, store, manage, and integrate data from a variety of sources.
  • Assist in the creation of both standardized reports and ad-hoc analyses.
  • Maintain and extend our existing analytics infrastructure.
  • Innovate across all aspects of basketball operations including coaching, scouting, and performance analytics.
  • Communicate results to the basketball operations staff through presentations, written reports, and tools.
  • Assist with compiling statistics/data and reporting for the Indiana Pacers and Noblesville Boom.
  • Collaborate on team projects and work autonomously on individual work.
  • Assisting with game night responsibilities as needed.
  • Other duties and projects as assigned.

REQUIRED QUALIFICATIONS:
  • Enrolled in a college or university program as a junior, senior, or graduate student.
  • Demonstrated data programming experience (Python and SQL) either in data science, data engineering, or data analysis.
  • Proficient in Microsoft Office applications (Excel, Word, PowerBI).
  • Strong organizational skills with a robust attention to detail in regards both to checking data and visual presentation of deliverables.
  • Excellent communication skills and a desire to learn more both about the basketball industry and data analytics' impact on the game.
  • Highly motivated and dependable.

DESIRED QUALIFICATIONS:
  • Interest in basketball and familiarity with basketball terminology and analytics is a plus.
  • Basic knowledge of version control systems like Git.
  • Experience with statistical analysis and machine learning techniques (eg, regression/modeling, clustering, hypothesis testing, categorical data analysis), commonly used statistics packages in R or Python, data visualization, and data collection methods.
  • Experience in HTML, CSS, and JavaScript for creating responsive and interactive user interfaces.
  • Familiarity with AI tools (e.g., ChatGPT, Claude) and an interest in applying LLMs to streamline research and analysis

To perform this job successfully, an individual must be able to perform each duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
COMPUTER SKILLS:
Strong knowledge of Microsoft Office, Python, as well as the ability to a learn and utilize new computer programs quickly and efficiently.
REASONING ABILITY:
Ability to define problems, collect data, establish facts and draw valid conclusions. Ability to interpret directions and technical diagrams.
PROBLEM SOLVING REQUIREMENTS:
Ability to deal with various internal and external constituents to solve problems and deliver projects on time with accuracy, professionalism and with outstanding customer service.
PHYSICAL AND ENVIRONMENTAL DEMANDS:
The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit, stand, walk, use a computer, use a telephone, speak, hear, and write.
While performing the duties of this job, the noise level in the office work environment is usually moderate and the noise level in the Fieldhouse / game environment is usually loud. The stress level may become high during certain times of the year.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, gender identity, marital status, disability status, protected veteran status, or any other characteristic protected by law.

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