College IT Data Internship: ETL, AI & Analytics

State of Ohio; Columbus (OH); On-site; USD 22,000 - 33,000; Part time

Benefits offered by this job

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Job summary

Workers' Compensation in Columbus, OH is seeking a part-time, temporary role focused on data engineering and analytics. You will help develop ETL pipelines using SQL and Python, work with cloud data-warehouse tools, and support AI/ML initiatives under senior guidance.

You will also assist in data modeling, cleaning, and preparation of datasets for analysis, and communicate findings through visualizations for stakeholders across IT and business units.

Qualifications

• Must be enrolled in an accredited higher education program in CS, stats, math, IS, data science, engineering, economics or business analytics.
• Internship is the primary job skill for this role.
• Opportunity to work with ETL, data modeling and AI/ML projects.

Responsibilities

• Assist in developing and maintaining ETL pipelines using SQL, Python, and cloud data-warehouse tools.
• Collaborate with data engineers, architects, and analysts to translate questions into data solutions.
• Participate in design and development of AI/ML solutions, supporting model prep and evaluation.
• Support data modeling activities, applying normalization and denormalization under guidance.
• Perform data cleaning and preprocessing, handle missing values, prepare datasets for modeling.
• Analyze large datasets, clean, transform, and interpret data using Python and SQL.
• Collaborate with IT and business units to understand data needs and deliver insights.
• Communicate insights via visualizations and reports to technical and non-technical stakeholders.

Skills

ETL pipelines

SQL

Python

Cloud data warehousing

Data modeling

Data cleaning

AI/ML

Visualization

Cross-functional collaboration

Education

CS/Statistics/Math/IS/Data Science/Engineering/Economics/Analytics

Job description

Workers' Compensation in Columbus, OH is seeking a part-time, temporary role focused on data engineering and analytics. You will help develop ETL pipelines using SQL and Python, work with cloud data-warehouse tools, and support AI/ML initiatives under senior guidance.

You will also assist in data modeling, cleaning, and preparation of datasets for analysis, and communicate findings through visualizations for stakeholders across IT and business units.