Intern, Customer Support & Success - Rotations

Harris Computer; Kansas; On-site; USD 30,307 - 34,440; Full time

Job summary

eScholar is seeking an exceptional Customer Support/Customer Success Intern to participate in rotations across Customer Support, Product Management, and Customer Success. You will develop product knowledge, assist with incident management, and help optimize support workflows.

You will work with SQL, BI tools, and Python, while exploring AI-enabled productivity tools to improve reporting and efficiency. Strong collaboration with cross-functional teams is expected.

Qualifications

• Proficient in SQL and data handling for reporting and analysis.
• Experience with BI tools such as Power BI and Tableau is preferred.
• Python or similar programming experience is beneficial.
• Interest in AI-enabled productivity tools and customer success operations.

Responsibilities

• Collaborate with Support, Product Management, and Customer Success teams to understand products and processes.
• Provide technical support and help manage incidents through the system.
• Identify improvements to incident intake, tracking, and reporting workflows.
• Participate in testing and improvements of support processes and tools.
• Experiment with AI tools to enhance reporting and team productivity.
• Support customer success activities including materials, follow-ups, and engagement tracking.
• Assist in customer reviews and cross-functional coordination to drive outcomes.
• Gather end-user requirements for data pipelines and reporting.
• Analyze source data for quality issues and address them in ETL routines.

Skills

SQL

Power BI

Tableau

Python

AWS

Azure

AI tools

Version control

Documentation

Education internships

SQL Server

PostgreSQL

Oracle

Git

Education

BA/BS in Computer Science

Tools

Git

Job description

eScholar is seeking an exceptional Customer Support/Customer Success Intern to participate in rotations across Customer Support, Product Management, and Customer Success. You will develop product knowledge, assist with incident management, and help optimize support workflows.

You will work with SQL, BI tools, and Python, while exploring AI-enabled productivity tools to improve reporting and efficiency. Strong collaboration with cross-functional teams is expected.