Sustainability Data Analyst

Key Responsibilities

• Take ownership of collecting, organizing, and managing HR and ESG-related data from internal and external sources, and develop streamlined data pipelines to support efficient tracking of HR sustainability and ESG indicators
  .

• Maintain data integrity by conducting regular quality checks, audits, and validation processes
  , ensuring the accuracy and completeness of all data inputs.

• Analyze key HR sustainability metrics such as workforce diversity, employee well-being, training, and retention, and deliver actionable insights to enhance overall ESG performance.

• Prepare detailed reports in accordance with recognized ESG disclosure standards (e.g., ESRS, GRI, SASB, TCFD), with a strong focus on human capital metrics for both internal assessments and external disclosures.

• Collaborate with HR, sustainability, compliance, and IT teams to ensure data strategy aligns with business goals and enhance the infrastructure supporting HR and ESG metric reporting.

• Co-develop and refine key performance indicators (KPIs) to effectively measure and improve HR sustainability and ESG outcomes.

• Conduct benchmarking and gap analysis to evaluate organizational performance against industry standards and keep up to date with evolving ESG regulations and trends.

• Present critical insights, trends, and strategic recommendations to senior management and other stakeholders to support informed decision-making and continuous improvement in sustainability practices.

• Bachelor’s degree in Data Science, Business Analytics, Sustainability, Statistics
  , or a related field; advanced degrees or certifications in ESG reporting or data analytics are highly desirable.

• Minimum of 6 years of experience in data programming and reporting, particularly using SQL and visualization tools like Power BI or similar platforms.

• Proficiency in Workday reporting/Prism is required.

• Hands-on experience with data visualization tools such as Tableau or Power BI
  , and strong working knowledge of ESG reporting standards such as ESRS, GRI, SASB, and TCFD
  .

• Skilled in data analytics tools including Python, R, SQL, and Excel
  , with a strong aptitude for interpreting complex datasets and identifying actionable trends.

• Exceptional attention to detail in data cleaning, validation, and reporting, ensuring compliance with relevant ESG reporting frameworks.

• Excellent communication skills—both written and verbal—with the ability to present findings clearly to both technical and non-technical audiences. Strong interpersonal and collaboration skills for working across teams.