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Remote Esg Data Analyst Jobs in Indiana (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Fishers, IN · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Your work will enable trusted data products, analytics, operational reporting, and future AI use ...

blueStone

Sr. Business Objects Analyst

Indianapolis, IN · Remote

The Sr. Data Warehouse /Business Analyst will serve as a leader for Business Intelligence and work ... Must be able to work with the remote based BI team, and offshore development team, staying closely ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

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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 Indiana?

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

What are popular job titles related to Remote Esg Data Analyst jobs in Indiana?

For Remote Esg Data Analyst jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote Esg Data Analyst jobs in Indiana look for?

The top searched job categories for Remote Esg Data Analyst jobs in Indiana are:

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

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

Remote Esg Data Analyst jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Fishers, IN • On-site, Remote

$90 - $120/hr

Part-time

Posted 22 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

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