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Esg Data Analyst Jobs (NOW HIRING)

Senior Analyst, Advisory

New York, NY · On-site

$100K - $110K/yr

Guide clients through data collection processes and iterative improvement of their ESG programs ... Strong analytical and writing abilities to help articulate ESG topics to novices and experts alike.

ND · On-site

$125K - $190K/yr

... ESG, Net-Zero, and climate business outcomes initiatives through data, governance, analytics, and ... advanced AI techniques. You will work closely with global leadership, sustainability experts, and ...

... ESG, Net-Zero, and climate business outcomes initiatives through data, governance, analytics, and ... advanced AI techniques. You will work closely with global leadership, sustainability experts, and ...

Data Analyst Role Summary As a Data Analyst, you will support business decision-making by gathering ... Be part of a company that puts ESG at the heart of its mission, for people, planet, and performance.

Data Analyst Role Summary As a Data Analyst, you will support business decision-making by gathering ... Be part of a company that puts ESG at the heart of its mission, for people, planet, and performance.

Operating at the intersection of quantitative analysis, regulatory compliance, and ESG data governance, you will ensure that Bloomberg's ESG Scoring models are fit for purpose, methodologically ...

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Esg Data Analyst information

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$34K

$82.6K

$136K

How much do esg data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for esg 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 does an ESG data analyst do?

An ESG Data Analyst collects, analyzes, and interprets environmental, social, and governance (ESG) data to help organizations assess sustainability performance and compliance. They work with various data sources to generate reports, track key ESG metrics, and support decision-making. Their role is crucial in ensuring transparency in corporate sustainability efforts and meeting regulatory or investor expectations.

What are the key skills and qualifications needed to thrive as an ESG data analyst?

To thrive as an ESG Data Analyst, you need strong analytical skills, proficiency in data management, and a solid understanding of environmental, social, and governance (ESG) frameworks, typically supported by a degree in data science, finance, or a related field. Expertise in software tools such as Excel, SQL, Python, and experience with ESG data platforms like MSCI or Sustainalytics is highly valued, along with certifications such as SASB FSA or CFA ESG. Attention to detail, effective communication skills, and the ability to collaborate with multidisciplinary teams make a candidate stand out. These skills are crucial for accurately analyzing ESG metrics, ensuring data integrity, and translating complex findings into actionable insights for stakeholders.

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Infographic showing various Esg Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Sustainability Data and AI Consultant

Themesoft, Inc.

Chicago, IL • On-site

Full-time

Posted 14 days ago


Job description

Overview:
Sustainability Data and AI Consultant
Location - Chicago, IL - United States
Your Role
To support our ambition of becoming a leading sustainability consulting and capability provider, we are seeking a Sustainability Data and AI Consultant/Engineer for the North American market. This role will focus on designing and delivering AI-driven sustainability solutions, enabling organizations to accelerate their ESG, Net-Zero, and climate business outcomes initiatives through data, governance, analytics, and advanced AI techniques. You will work closely with global leadership, sustainability experts, and Data & AI teams to build scalable, industry-specific Data and AI solutions for sustainability business cases.
  • Support pre-sales, RFP responses, and PoC development for sustainability Data and AI offerings.
  • Design and build Data and AI solutions for sustainability business cases such as ESG reporting, carbon accounting, supply chain optimization and resilience, resource optimization, product life cycle automation, data-driven solutions for Net-Zero, Environmental Profit & Loss, climate analytics and climate risk modeling.
  • Develop AI-enabled frameworks and apply AI techniques (Agentics, RPA, Predictive analytics, GenAI, NLP) to automate ESG governance and compliance, reporting, regulatory alignment and sustainability insight across the value chain of enterprise.
  • Design and maintain data pipelines, ESG data models, and sustainability data platforms.
  • Integrate internal and external sustainability datasets (carbon emissions, regulatory data, ESG disclosures, ESG risks scoring) and implement leading ESG solutions from the market
  • Work with cloud platforms (Azure, AWS, GCP) and tools like Databricks, Snowflake, Python, SQL for scalable AI solutions.
  • Collaborate with consulting teams to translate sustainability challenges into AI-driven business outcomes solutions.
  • Participate in client workshops, discovery sessions, and solution design discussions.
  • Stay updated on emerging ESG regulations, AI trends, and sustainability technologies.
  • Contribute to accelerators, frameworks, and reusable assets for sustainability solutions.

Required Skills & Experience
  • 5-6 years of experience in Data, AI/ML, Engineering, Governance or Analytics roles.
  • 1-2 years of exposure to Business Sustainability / ESG / Climate / CSR initiatives.
  • Experience in consulting or client-facing roles preferred.
  • Strong proficiency in selling solutions
  • Customer centric, relation builder, entrepreneur, problem solving skills
  • Experience in Machine Learning / AI (predictive models, NLP, GenAI preferred), AI/ML frameworks such as TensorFlow or PyTorch, AI workflow and Agentics platform like Claude, Gemini, Co-pilot
  • Experience with data engineering concepts (ETL pipelines, data lakes, data governance, etc.).
  • Experience with cloud platforms (Azure, AWS, or GCP).
  • Experience with leading Sustainability solutions
  • Understanding of ESG data models, sustainability metrics, and data governance.
  • Working knowledge of ESG regulations, scoring agency, and frameworks (CSRD, ISSB, GRI, SASB, CDP).
  • Understanding of carbon accounting, LCA, LCI and GHG Protocol.
  • Experience in sustainability reporting and disclosures.

Skills:
Sustainability Data,AI