Data Operations Intern: Analytics & Excel

Uhy Llp; Kansas City (MO); Hybrid; USD 25,000 - 30,000; Full time

Benefits offered by this job

401(k) retirement plans

Paid time off (PTO)

Job summary

UHY is offering a 2027 Data Operations Winter Internship in Kansas City. This internship supports the Shared Resources team in compiling, manipulating, and analyzing client data, under supervision of engagement team members. Ideal for students aiming to advance in analytics and audit processes with Excel and firm systems.

Responsibilities include audits, data processing, and efficiency improvements. The role emphasizes confidentiality, reliability, and a proactive learning mindset, with minimal

Qualifications

• Currently enrolled at an accredited college/university pursuing a degree in business administration, accounting, finance, or a related field.
• Requires a previous completion of minimum of 2 semesters in business classes.

Responsibilities

• Audit and Financial Analysis Support: Assist audit staff with basic tasks such as preparing sample selections for audit procedures and using Excel to organize financial information.
• Process Improvement and Department Support: Support efficiency and process improvement efforts under team direction and assist other firm departments with simple analytical assignments.
• Professional Standards: Maintain confidentiality, demonstrate professionalism, reliability, and a willingness to learn.

Skills

Excel

Education

High School Diploma or GED

College enrollment in business-related field (2+ semesters completed)

Tools

Excel

Job description

UHY is offering a 2027 Data Operations Winter Internship in Kansas City. This internship supports the Shared Resources team in compiling, manipulating, and analyzing client data, under supervision of engagement team members. Ideal for students aiming to advance in analytics and audit processes with Excel and firm systems.

Responsibilities include audits, data processing, and efficiency improvements. The role emphasizes confidentiality, reliability, and a proactive learning mindset, with minimal