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Assistant Data Analytics Jobs in Indiana (NOW HIRING)

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... * Assist with configuration and administration of Microsoft Purview capabilities (e.g ...

Collect, review, and validate data from multiple systems and sources. * Assist in preparing routine and ad-hoc reports, dashboards, and data summaries. * Conduct basic trend analysis, data ...

Analyst II

Indianapolis, IN · On-site

$85K - $98K/yr

Collect, review, and validate data from multiple systems and sources. * Assist in preparing routine and ad-hoc reports, dashboards, and data summaries. * Conduct basic trend analysis, data ...

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Assistant Data Analytics information

What is the difference between Assistant Data Analytics vs Data Analyst?

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

What are Assistant Data Analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

What are the key skills and qualifications needed to thrive as an Assistant Data Analytics, and why are they important?

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an Assistant Data Analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.
What are the most commonly searched types of Data Analytics jobs in Indiana? The most popular types of Data Analytics jobs in Indiana are:
What cities in Indiana are hiring for Assistant Data Analytics jobs? Cities in Indiana with the most Assistant Data Analytics job openings:
Indiana Pacers Basketball Analytics Intern - Fall 2026

Indiana Pacers Basketball Analytics Intern - Fall 2026

Pacers Sports & Entertainment

Indianapolis, IN

$14.25 - $19/hr

Internship

Posted 3 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.