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Part Time Ups Data Analyst Jobs (NOW HIRING)

This temporary part-time opportunity is designed to help manage critical operational workloads ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

This temporary part-time opportunity is designed to help manage critical operational workloads ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

$40/hr

Hourly Data Analyst Department: Asst/Assoc Professor Reports To: Associate Professor Position ... FLSA: Non-Exempt Time Type: Part time Pay Rate: Hourly Additional Information: As an EEO employer ...

WHY WE THINK YOU WILL LOVE THIS ROLE We are seeking a part-time (15-20 hours/week) Data Analyst Intern supporting the Global People Operations team. In this role you are a key player in supporting ...

Ameritas Life Insurance Corp is looking for a Data Analyst Intern to drive the business by ... Able to fulfill a long-term internship commitment working full-time in the summer and part-time ...

Although part time data entry staff as well as administrative aide expertise are not necessary, they are very beneficial. Project Benefits Involvement in online and also in-person conversations. If ...

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Part Time Ups Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do part time ups data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for part time ups data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Ups Data Analyst jobs?

The most popular types of Ups Data Analyst jobs are:

Sales Data Analyst-LTE

AprilAire

Madison, WI • Remote

Part-time

Posted 22 days ago


Job description

Overview
Join us during a busy season as a Sales Data Analyst-LTE! We are seeking a detail-oriented and analytical professional to provide immediate support for a high-volume sales claims processing function. This temporary part-time opportunity is designed to help manage critical operational workloads, improve process documentation, and support the Finance team during a busy season. 
 
Start: ASAP
End: Minimum 3 month, could be extended to January/Feburary depending on workload 
Schedule: 20 hours per week, flexible on work hours within 7am-6pm 
Work Style: Remote--candidate must live within a 75 mile radius of Madison, WI 

Responsibilities

The primary focus of this role will be supporting sales claim back processing and related operational activities, including:

  • Processing and administering customer claim backs for our sales team 
  • Assisting with sales claim back reconciliation and documentation
  • Supporting existing sales claim back workflows currently handled by multiple team members
  • Documenting processes, procedures, and best practices
  • Supporting sales transfer activities as needed
  • Utilizing automation tools and chatbot solutions developed to enhance claim back processing efficiency
  • Identifying opportunities for process improvements and operational efficiencies
  • Maintaining accurate records and ensuring data integrity

Qualifications
  • Bachelor's degree in one of the following areas; Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines
  • Experience with data analysis and reporting
  • Advanced Microsoft Excel skills, including formulas, data manipulation, and analysis
  • Experience in sales operations, finance, accounting, customer claims, or operational support functions
  • Strong attention to detail and organizational skills
  • Ability to manage multiple priorities in a fast-paced environment
  • Process-oriented mindset with strong documentation skills
  • Experience working with automation tools or process improvement initiatives is a plus
Qualifications:
  • Bachelor's degree in one of the following areas; Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines
  • Experience with data analysis and reporting
  • Advanced Microsoft Excel skills, including formulas, data manipulation, and analysis
  • Experience in sales operations, finance, accounting, customer claims, or operational support functions
  • Strong attention to detail and organizational skills
  • Ability to manage multiple priorities in a fast-paced environment
  • Process-oriented mindset with strong documentation skills
  • Experience working with automation tools or process improvement initiatives is a plus
Education:UNAVAILABLEEmployment Type: UNAVAILABLE