ESG Analytics Specialist

Ambitious professionals are invited to apply for the role of ESG Analytics Specialist, where they will play a pivotal part in developing innovative analytics solutions that drive sustainable growth.

The ideal candidate will be an expert in data analysis and machine learning, with a proven track record of creating high-impact insights from complex datasets. They will work closely with our team of sustainability experts to develop cutting-edge ESG analytics tools and models that help clients make informed decisions and achieve their sustainability goals.

This is an exciting opportunity for individuals who are passionate about driving positive environmental and social impact through data-driven solutions.

• Data Analysis & Modeling

- Develop and implement advanced machine learning models for ESG risk assessment, sustainability scoring, and impact measurement

- Analyze large datasets including carbon emissions, supply chain data, social impact metrics, and governance indicators

- Create predictive models for climate risk scenarios, regulatory compliance, and sustainability performance forecasting

- Design and build ESG rating methodologies and scoring algorithms

• ESG-Specific Analytics

- Work with environmental data (carbon footprint, energy consumption, waste management, water usage)

- Analyze social metrics (diversity & inclusion, labor practices, community impact, human rights)

- Evaluate governance factors (board composition, executive compensation, transparency, ethics)

- Develop sector-specific ESG benchmarks and peer analysis frameworks

• Data Engineering & Management

- Design and maintain robust data pipelines for ESG data ingestion from multiple sources

- Ensure data quality, consistency, and accuracy across various ESG databases

- Work with alternative data sources including satellite imagery, news sentiment, and regulatory filings

- Implement data governance frameworks compliant with international standards

• Visualization & Reporting

- Create compelling data visualizations and interactive dashboards for ESG metrics

- Develop automated reporting solutions for regulatory compliance

- Build client-facing analytics tools and ESG performance monitoring systems

- Present complex analytical findings to both technical and non-technical stakeholders

• Collaboration & Innovation

- Collaborate with sustainability consultants, policy experts, and domain specialists

- Stay updated with evolving ESG regulations, frameworks, and industry best practices

- Contribute to research and development of new ESG measurement methodologies

- Support business development activities with technical expertise and proof-of-concepts

• Education & Experience

- Master's degree in Data Science, Statistics, Computer Science, Environmental Science, or related field

- 4-6 years of experience in data science, analytics, or quantitative research

- Prior experience in ESG, sustainability, climate risk, or related domains preferred

- Experience with financial services, consulting, or regulatory compliance is a plus

• Technical Skills

- Programming: Proficiency in Python/R, SQL, and statistical analysis libraries (pandas, scikit-learn, numpy)

- Machine Learning: Experience with supervised/unsupervised learning, time series analysis, and ensemble methods

- Data Visualization: Expertise in Tableau, Power BI, Plotly, or similar tools

- Cloud Platforms: Experience with AWS, Azure, or GCP for data processing and model deployment

- Databases: Knowledge of SQL and NoSQL databases, data warehousing concepts

- Big Data: Familiarity with Spark, Hadoop, or similar big data technologies

• ESG Knowledge

- Understanding of ESG frameworks (GRI, SASB, TCFD, CDP, UN Global Compact)

- Knowledge of international ESG regulations and reporting requirements

- Familiarity with climate science, carbon accounting, and sustainability metrics

- Awareness of international ESG standards and rating methodologies

• Soft Skills

- Strong analytical thinking and problem-solving abilities

- Excellent communication skills in English

- Ability to work in cross-functional teams and manage multiple projects

- Detail-oriented with strong quality assurance mindset

- Passion for sustainability and positive environmental/social impact