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Remote Data Analytics Consultant Jobs in Madison, WI

Remote--candidate must live within a 75 mile radius of Madison, WI Responsibilities The primary ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

Remote--candidate must live within a 75 mile radius of Madison, WI Responsibilities The primary ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

Energy Engineer

Madison, WI ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Energy Engineer

Madison, WI ยท Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Provider Network Reimbursement Analyst

Madison, WI ยท On-site +1

  • Medical

  • Dental

  • Retirement

  • PTO

Three (3) or more years in healthcare analytics, operations or business intelligence/data analytics ... Remote Work Requirements * High speed cable or fiber internet. * Minimum of 10 Mbps downstream and ...

90-100% remote but can require staff to come onsite as necessary with sufficient notice. This ... They will be responsible for the data profiling, analysis and documentation of data quality. The ...

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Remote Data Analytics Consultant information

See Madison, WI salary details

$11

$45

$78

How much do remote data analytics consultant jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote data analytics consultant in Madison, WI is $45.24, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $60.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote data analytics consultant?

To thrive as a Remote Data Analytics Consultant, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field such as statistics, computer science, or mathematics. Familiarity with tools like SQL, Python, R, Tableau, and cloud data platforms, as well as relevant certifications (e.g., Google Data Analytics Certificate), is highly beneficial. Strong problem-solving, communication, and self-management skills are essential for working independently and delivering actionable insights to clients. These skills and qualifications enable consultants to effectively interpret complex data and provide valuable solutions in a remote, client-focused environment.

What does a remote data analytics consultant do?

A Remote Data Analytics Consultant helps organizations analyze and interpret complex data to inform business decisions, working from a location outside the client's physical office. They use statistical tools, data visualization, and data modeling techniques to uncover patterns, trends, and insights. Their responsibilities often include data gathering, cleaning, analysis, and presenting findings to stakeholders in a clear and actionable way. Remote consultants collaborate with teams virtually, providing expertise on projects ranging from business intelligence to predictive analytics, and may also advise on data strategy and best practices.

How do remote data analytics consultants typically collaborate with clients and internal teams while working off-site?

Remote Data Analytics Consultants often use a combination of video conferencing, collaborative dashboards, and project management tools to maintain close communication with clients and internal stakeholders. Regular virtual meetings are standard for discussing project goals, progress updates, and data insights. Effective consultants proactively share findings, respond to questions in a timely manner, and ensure data security protocols are followed when exchanging sensitive information. This collaborative approach helps bridge the distance and fosters strong, productive relationships across distributed teams.

What is the difference between Remote Data Analytics Consultant vs Remote Data Analyst?

AspectRemote Data Analytics ConsultantRemote Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like CAP, Microsoft Certified Data AnalystBachelor's in Data Science, Statistics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentConsulting projects, client sites, remote teams, often project-basedIn-house or remote, supporting ongoing business operations
Employer & Industry UsageConsulting firms, tech companies, finance, healthcareCorporations, finance, healthcare, retail

The main difference is that a Remote Data Analytics Consultant typically works on client projects, providing strategic insights and recommendations, while a Remote Data Analyst focuses on analyzing data to support internal business decisions. Both roles require similar skills and certifications but differ in work scope and environment.

What are the most commonly searched types of Data Analytics Consultant jobs in Madison, WI?

The most popular types of Data Analytics Consultant jobs in Madison, WI are:

What are popular job titles related to Remote Data Analytics Consultant jobs in Madison, WI?

For Remote Data Analytics Consultant jobs in Madison, WI, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Consultant jobs in Madison, WI look for?

The top searched job categories for Remote Data Analytics Consultant jobs in Madison, WI are:

What cities near Madison, WI are hiring for Remote Data Analytics Consultant jobs?

Cities near Madison, WI with the most Remote Data Analytics Consultant job openings:

Sales Data Analyst-LTE

AprilAire

Madison, WI โ€ข Remote

Part-time

Posted 6 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.ย 
ย 
Start: ASAP
End: Minimum 3 month, could be extended to January/Feburary depending on workloadย 
Schedule: 20 hours per week, flexible on work hours within 7am-6pmย 
Work Style: Remote--candidate must live within a 75 mile radius of Madison, WIย 

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 teamย 
  • 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