Fall Intern - Data Analytics

This is a Part Time Unpaid Internship

Internship Term: Fall 2023 (September - December)

Anticipated Time Commitment: approximately 15 - 20 hours per week

THE TEAM:

Our Customer Insights team builds, implements, and operates solutions that cover the entirety of the Business Operations unit of Pacers Sports & Entertainment. We are looking to hire and foster the development of a Data Analytics Intern who will play a significant role in driving data adoption and usage throughout the company.

THE POSITION:

The Data Analytics Intern will be joining the Customer Insights team to reimagine not only how data is governed, organized, and structured, but how it can help bring the company answers. The Data Analytics Intern will be a member of a data-focused team which builds data infrastructure, pipelines, visualizations, and a variety of solutions to drive analytics and uncover the stories hidden within data.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
• Responsibilities are subject to change according to the interests of the selected candidate, we are happy to allow you to explore Data Analytics, Engineering, and Science. We will discuss your interests during interviews which will help us tailor your experience with us. Here are some examples of what you could take on during your time with us.
• Assist in the development of Data Pipelines and Databases for the integration of new datasets into the ''Lakehouse''.
• Monitor and improve automated solutions to ensure data quality and performance standards are upheld.
• Analyze source APIs, new and existing data schemas, and the overall data ecosystem to define capabilities.
• Design and develop analytical dashboards for use throughout the company that will provide insights to stakeholders and assist them in their decision-making.
• Complete an end-to-end exploratory data project, tailor-made by the Data Engineer, that will guide your learning within our ecosystem.
• Other duties and projects as assigned.

REQUIRED QUALIFICATIONS:
• We welcome applications from students pursuing non-STEM degrees, this requirements section merely serves as a guideline for what may best prepare you for this position.
• Enrolled in a college or university program as a junior, senior, or graduate student.
• Currently pursuing a bachelor's / master's degree in Computer Science, Mathematics, or a related quantitative major
• Non-related majors will be considered for the role but will be expected to fill in additional background and interests during interviews
• Exposure to at least one programming language (Python, R, Java, etc.) and SQL
• Exposure to Data Visualization tools (Power BI, Tableau, Looker, etc.)
• Exposure to Git or similar version control solutions
• Familiarity with data processing libraries (Pandas, NumPy, etc.)

DESIRED QUALIFICATIONS:
• Exposure / experience with a major cloud platform (AWS, Azure, GCP, etc.)
• Exposure / experience with ETL or ELT tools and technologies (Databricks, Snowflake, etc.)
• Knowledge of ''Big Data'' technologies (Spark, Hadoop, etc.)
• Experience with a variety of datatypes and structures (JSON, CSV, NoSQL, Relational, etc.)
• Experience with data visualization tools (Tableau, Power BI, etc.)

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.

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 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.