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Esg Data Analyst Jobs (NOW HIRING)

Fabrion

Data Partnerships Analyst

Bodega Bay, CA · On-site

Data Partnerships Analyst Location: San Francisco Bay Area Type: Full-Time Compensation ... ESG, geopolitical, etc). You'll play a critical role in mapping data ecosystems, structuring ...

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Measurabl

Director, Data Engineering, ML & AI

Partner with Science and ESG teams to translate complex regulatory frameworks (GRESB, CSRD, GHG Protocol, ENERGY STAR) into scalable data products * Enable advanced portfolio-level analytics and ...

CBRE

Sr. Sustainability Analyst - ESG

New York, NY · On-site

$131K - $151K/yr

Research, Data Collection, and Data Analysis: * Leverage relationships with portfolio and property ... Utilize internal and third-party software platforms to track ESG performance metrics, support data ...

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$82.6K

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How much do esg data analyst jobs pay per year?

As of Jul 3, 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 is an ESG analyst's salary?

An ESG analyst's salary typically ranges from $60,000 to $100,000 annually, depending on experience, location, and the size of the organization. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher compensation. Salaries often include benefits and opportunities for bonuses based on performance.

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 in the Esg Data Analyst position, and why are they important?

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.

Is ESG a high paying job?

ESG Data Analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can command higher pay, often comparable to other data analysis roles in finance, consulting, or corporate sustainability sectors.

Are ESG analysts in demand?

ESG analysts are in high demand as companies and investors prioritize sustainable and responsible practices. The role requires skills in data analysis, reporting, and familiarity with ESG frameworks, with job growth expected to continue as ESG considerations become integral to business strategies.

What are typical daily responsibilities of an ESG Data Analyst?

As an ESG Data Analyst, your daily responsibilities often include gathering, cleaning, and analyzing ESG-related data from a variety of sources. You may work closely with sustainability teams, compliance departments, and corporate stakeholders to assess and improve ESG performance metrics. Preparing detailed reports, dashboards, and presentations to communicate findings and support decision-making is also a key part of the role. Additionally, staying updated on evolving ESG standards and helping integrate new data requirements into company processes are common aspects of the job.

What does an ESG data analyst do?

An ESG data analyst collects, manages, and analyzes environmental, social, and governance data to assess company sustainability and ethical practices. They use data management tools and statistical methods to support ESG reporting and decision-making processes. Strong analytical skills and knowledge of ESG frameworks are essential for this role.
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Esg Data Analyst jobs near you
Infographic showing various Esg Data Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Director, Analytics Product Lead - Sustainable Finance

Director, Analytics Product Lead - Sustainable Finance

Fitch Group

Manhattan, NY • On-site

$256K - $268K/yr

Full-time

Retirement

Posted 28 days ago

Job description

Sustainable Fitch (SuF) is seeking a dynamic Director, Product Owner to join our growing team in Chicago or New York.
Powered by the human insight that has differentiated Fitch for over 100 years, Sustainable Fitch combines experience and heritage with the best ESG information available in the market today. Our suite of solutions provides a much-anticipated, single source for the ESG focused financial community with tools, data, research and insights under one holistic, modular, user-friendly ESG investing umbrella. Sustainable Fitch is a Fitch Solutions Company.
Working at Sustainable Fitch provides the opportunity to engage with sustainability-focused financial analysis within a globally recognized ratings organization. You'll be part of a team dedicated to assessing the environmental, social, and governance (ESG) impacts of investment decisions, shaping the future of sustainable finance. This role allows you to drive positive change by integrating ESG considerations into credit ratings and research.
What We Offer:
  • High-Growth Environment - Join an entrepreneurial, fast-paced team within a larger, growth-oriented organization, offering opportunities to push boundaries and achieve ambitious goals.
  • Global Exposure - Work cross-functionally with key partners across analytics, technology, sales, and operations while engaging with a global client base.
  • Innovative and Customer-Centric Culture - Opportunity to thrive in a collaborative environment that values innovation, customer focus, and continuous improvement.
  • Professional Development - Access career growth opportunities through training programs, industry certifications, and exposure to cutting-edge tools and technologies.

We'll Count on You To:
  • Own and shape data products end-to-end, translating customer and business needs into clear features, priorities, and product direction.
  • Design and refine data-centric features such as calculated fields, indicators, schema changes, and reusable data structures that improve usability and impact.
  • Prototype and validate new product ideas, using data analysis and lightweight experimentation to turn ambiguous opportunities into practical MVPs.
  • Drive data quality and product reliability by identifying issues, validating outputs, and partnering with engineering and domain teams to improve trust in core data assets.
  • Advance AI- and analytics-ready product capabilities by helping structure data for reuse across reporting, automation, and emerging AI use cases.

What You Need to Have:
  • Significant experience building data products or closely related solutions, with a track record of turning complex data into practical, high-value capabilities.
  • Strong hands-on data skills, including SQL and comfort using Python or R to explore, validate, and prototype with data.
  • Strong product instincts, including customer empathy, sound prioritization, and comfort turning messy problems into actionable product decisions.
  • A builder mindset, with a bias toward testing, iterating, and getting to practical solutions quickly.
  • Strong communication and cross-functional collaboration skills, with the ability to work effectively across product, engineering, and business stakeholders.

What Would Make You Stand Out:
  • Prior experience as an analyst, data analyst, data scientist, or data/analytics engineer
  • Exposure to a wide variety of datasets including different domains, structures and formats
  • Background in financial services or ESG data
  • Passion for design and UX, with a focus on creating intuitive, visually appealing assets that enhance understanding and usability.

Why Choose Fitch:
  • Hybrid Work Environment: 3 days a week in office required based on your line of business and location
  • A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity
  • Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals
  • Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing
  • Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively
  • Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe
  • Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community

At Fitch, AI is embedded in how we work every day-supporting smarter decision-making, streamlining workflows, and enabling new ways to create value for our business and clients. Intelligent solutions are increasingly part of our day-to-day operations, helping teams work more efficiently and think differently as we continue to evolve. We're looking for colleagues who are comfortable operating in an AI-enabled environment-or who are curious, adaptable, and eager to build their AI literacy over time. We value professionals who embrace technology as part of continuous learning and who are committed to using it thoughtfully to enhance how work gets done.
Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.
Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluatequalified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
FOR NEW YORK
Expected base pay rates for the role will be between $140,000 and $180,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch's total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.
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