Data ITSM Analyst Intern - Hybrid, Summer 2027

Great American Insurance Company; Cincinnati (OH); Hybrid; USD 28,000 - 34,000; Part time

Benefits offered by this job

Medical, dental, and vision coverage

Wellness plans

Paid time off and holidays

401(k) with company match

Employee stock purchase plan

Commuter benefits

Job summary

Great American Insurance Company is seeking a Data Analytics Intern for Summer 2027 in Cincinnati, OH. You will assist with data analysis and reporting using Snowflake, collaborate to define data requirements, and document processes while presenting insights to stakeholders.

You will also participate in team meetings and lead our Change Advisory Board Meetings (pCAB, dCAB), gaining exposure to data improvements and change opportunities.

Qualifications

• Background in data analytics or a related field.
• Experience with Snowflake or SQL databases is desirable.
• Familiarity with Power BI or Tableau is a plus.
• Strong analytical and problem-solving skills are required.
• Excellent communication and presentation skills expected.

Responsibilities

• Assist with data analysis and reporting using Snowflake and other tools.
• Collaborate with team to gather and understand data requirements.
• Document workflow processes and project progress.
• Present findings and insights to stakeholders.
• Lead Change Advisory Board Meetings weekly (pCAB, dCAB).

Skills

Data analytics

SQL databases

Power BI

Tableau

Analytical thinking

Communication skills

Presentation skills

Collaboration

Education

Pursuing a degree in Data Analytics or related field

Tools

Snowflake

Power BI

Tableau

Job description

Great American Insurance Company is seeking a Data Analytics Intern for Summer 2027 in Cincinnati, OH. You will assist with data analysis and reporting using Snowflake, collaborate to define data requirements, and document processes while presenting insights to stakeholders.

You will also participate in team meetings and lead our Change Advisory Board Meetings (pCAB, dCAB), gaining exposure to data improvements and change opportunities.