ESG Reporting Specialist
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JOB DESCRIPTION
- Develop and maintain ESG intelligence dashboards, visualizations and analytical tools and mastering our 360 ESG Reporting Software and other databases (e.g., Power BI).
- Maintain and improve sustainability databases and platforms.
- Establish ETL (extract, transform, load) processes to collect, clean, and transform ESG data across a variety of data systems and structures to ensure ESG data is evidence-based and reflects best practices.
- Coordinate, prepare and update internal control documentation (flowcharts, narratives and risk and control matrices) and support in the identification of risks and design of controls.
- Maintain records of internal governance processes, policies and procedures for ESG data collection and verification to create audit-quality ESG data.
- Perform advanced data analysis such as scenario analysis, predictive modeling, and gap analysis as needed.
- Monitor and update useful internal ESG scorecard that includes targets for the different ESG topics.
- Support the preparation of the Annual Sustainability Report, Ecovadis assessment, Global Compact Communication on Progress, customer questionnaire responses and additional frameworks as the program evolves.
- Lead global function collaborators in the disclosure and data collection process.
- Research ESG regulation and reporting framework changes, especially UN Global Compact, GRI, TCFD, CDP and CSRD.
- Knowledge of GHG protocols; energy, water, waste, and other sustainability resource metrics and KPIs.
QUALIFICATIONS
- Bachelor's Degree or equivalent Certification in ESG, CSR, Computer Science, Data Science, Engineering, Energy, Sustainability, Public Policy, Environmental Studies, Finance or related
- 2-5 years of related professional experience in data engineering, analysis, business intelligence, and/or dashboard development with a preferred focus on sustainability, energy, engineering, ESG
- Ability to design, implement, and maintain dashboards in Microsoft Power BI, Workiva, 360 or comparable programs
- Ability to implement advanced analytical techniques such as data cleansing, statistical analysis, machine learning, and/or predictive modeling
- Ability to develop and present analyses using programs including Microsoft Excel, PowerPoint, and Power BI
- Ability to derive accurate, clear, and meaningful insights from large and complex datasets
- Ability to work independently, multitask, and manage time efficiently
- Ability to collaborate remotely across geographies and platforms
- Well-developed interpersonal skills, maturity, credibility, confidence, and integrity
- Strong oral and written communication skills
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