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Part Time Data Reconciliation Jobs in Wisconsin (NOW HIRING)

AprilAire

Sales Data Analyst-LTE

Madison, WI · On-site

This temporary part-time opportunity is designed to help manage critical operational workloads ... Assisting with sales claim back reconciliation and documentation * Supporting existing sales claim ...

AprilAire

Sales Data Analyst-LTE

Madison, WI · Remote

This temporary part-time opportunity is designed to help manage critical operational workloads ... Assisting with sales claim back reconciliation and documentation * Supporting existing sales claim ...

AprilAire

Sales Data Analyst-LTE

Madison, WI · Remote

This temporary part-time opportunity is designed to help manage critical operational workloads ... Assisting with sales claim back reconciliation and documentation * Supporting existing sales claim ...

Express Employment

Part-time Bookkeeper

River Falls, WI · On-site

$20/hr

Part-Time Bookkeeping Location: River Falls, WI Must be able to commute to River Falls, WI (not a ... Bank and credit card reconciliation support * Accounts payable / accounts receivable data entry and ...

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Part Time Data Reconciliation information

What is a part time data reconciliation?

A Part Time Data Reconciliation job involves comparing and matching data from different sources to ensure accuracy and consistency. Employees in this role identify discrepancies, correct errors, and update records as needed, often using spreadsheets or specialized software. This position may be in finance, accounting, or other industries where data accuracy is crucial. Part time roles typically require strong attention to detail and may offer flexible working hours.

What are some typical challenges faced in a part time data reconciliation role, and how can they be managed effectively?

In a part-time data reconciliation role, one common challenge is managing large volumes of data within limited working hours, which requires strong organizational skills and attention to detail. Additionally, discrepancies between different data sources can be time-consuming to investigate and resolve. To manage these challenges effectively, it's important to develop efficient workflows, communicate regularly with team members or supervisors about issues, and make use of reconciliation software or tools that can automate repetitive tasks. Being proactive in seeking clarification and maintaining thorough documentation can also help ensure accuracy and streamline the process.

What are the key skills and qualifications needed to thrive as a part time data reconciliation specialist, and why are they important?

To thrive as a Part Time Data Reconciliation specialist, you need strong attention to detail, analytical ability, and proficiency with spreadsheets, often supported by a background in finance, accounting, or data management. Familiarity with Excel, reconciliation software, and sometimes enterprise resource planning (ERP) systems is typically required. Strong organizational skills, time management, and clear communication help individuals excel in this role. These competencies ensure accurate data matching, timely resolution of discrepancies, and reliable reporting, which are crucial for maintaining data integrity in any organization.

What is the difference between Part Time Data Reconciliation vs Part Time Data Entry?

AspectPart Time Data ReconciliationPart Time Data Entry
Primary FocusMatching and verifying data accuracy across systemsInputting and updating data into databases
Skills RequiredAttention to detail, data analysis, basic Excel skillsTyping speed, accuracy, familiarity with data management software
Work EnvironmentFinance, accounting, or administrative departmentsAdministrative offices, customer service, or support teams
Common CertificationsBasic Excel, data management coursesTyping certifications, basic computer skills

Part Time Data Reconciliation involves verifying and matching data for accuracy, often in finance or accounting contexts, requiring analytical skills. Part Time Data Entry focuses on inputting data into systems, emphasizing speed and accuracy. While both roles require attention to detail, Data Reconciliation is more analytical, whereas Data Entry is more operational.

What are popular job titles related to Part Time Data Reconciliation jobs in Wisconsin?

For Part Time Data Reconciliation jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Part Time Data Reconciliation jobs in Wisconsin look for?

The top searched job categories for Part Time Data Reconciliation jobs in Wisconsin are:

Part Time Data Reconciliation jobs near you
Infographic showing various Part Time Data Reconciliation job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Sales Data Analyst-LTE

AprilAire

Madison, WI • On-site

Part-time

Posted 20 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

Apply