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Remote Esg Data Analyst Jobs in Wisconsin (NOW HIRING)

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

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

... fully remote arrangements for the ideal candidate. Responsibilities: * Elicit, analyze, and ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Strong analytical, problem-solving, and data interpretation skills * Project management skills with ...

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Strong analytical, problem-solving, and data interpretation skills * Project management skills with ...

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Remote Esg Data Analyst information

What is a remote ESG data analyst?

Remote ESG Data Analysts are professionals who collect, analyze, and interpret data related to Environmental, Social, and Governance (ESG) factors, often working from a remote location. They support organizations in evaluating their sustainability practices, compliance, and ESG performance by providing actionable insights from data. Their work helps companies make informed decisions, improve their ESG scores, and meet regulatory or stakeholder expectations. Remote ESG Data Analysts use various tools and software to access datasets, generate reports, and collaborate with teams virtually.

What skills and qualifications are needed to be a remote ESG data analyst?

To thrive as a Remote ESG Data Analyst, you need strong analytical skills, proficiency in data management, and a background in finance, sustainability, or a related field. Familiarity with ESG reporting frameworks (like GRI, SASB), data visualization tools (such as Power BI or Tableau), and advanced Excel or Python skills are typically required. Exceptional attention to detail, effective remote communication, and the ability to work independently are vital soft skills. These competencies enable accurate ESG data analysis, clear reporting, and valuable insights that support responsible investment and corporate sustainability.

How does a remote ESG data analyst typically collaborate with other departments or stakeholders?

As a Remote ESG Data Analyst, you regularly collaborate with cross-functional teams such as sustainability, investor relations, compliance, and IT. Much of the work involves gathering ESG (Environmental, Social, and Governance) data from various sources, validating its accuracy, and communicating findings or recommendations to both internal and external stakeholders. Effective communication and virtual teamwork skills are crucial since you’ll often participate in video meetings, share reports, and provide data-driven insights to support organizational ESG initiatives. This collaborative approach ensures that ESG strategies are well-integrated across the company.

What is the difference between Remote Esg Data Analyst vs Remote Sustainability Data Analyst?

AspectRemote Esg Data AnalystRemote Sustainability Data Analyst
Required CredentialsBachelor's in Data Science, Environmental Science, or related fields; familiarity with ESG frameworksBachelor's in Sustainability, Environmental Science, or related fields; knowledge of sustainability metrics
Work EnvironmentRemote, often within finance, consulting, or corporate sectorsRemote, typically in environmental organizations, NGOs, or corporate sustainability teams
Employer & Industry UsageFinancial institutions, investment firms, corporations focusing on ESG reportingEnvironmental agencies, NGOs, companies with sustainability initiatives

The main difference is that a Remote Esg Data Analyst focuses on analyzing environmental, social, and governance data primarily for investment and corporate reporting, while a Remote Sustainability Data Analyst concentrates on broader sustainability metrics and initiatives, often within environmental organizations or sustainability departments. Both roles require similar skills but serve different industry needs.

What are the most commonly searched types of Esg Data Analyst jobs in Wisconsin?

The most popular types of Esg Data Analyst jobs in Wisconsin are:

What cities in Wisconsin are hiring for Remote Esg Data Analyst jobs?

Cities in Wisconsin with the most Remote Esg Data Analyst job openings:

Infographic showing various Remote Esg Data Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Sales Data Analyst-LTE

Madison, WI • Remote

AprilAire
Manufacturing • 501 - 1,000 employees

Part-time

Posted 19 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