ERM is seeking a Consultant, Environmental Data and Analytics to join our growing Data Services team. This role blends technical expertise in data analytics and visualization with a strong understanding of environmental data systems and governance. You will support the implementation of data solutions that support environmental, health, safety, and sustainability (EHS&S) initiatives for global clients. Key Responsibilities • Develop interactive dashboards and reports using Power BI, Tableau, and Looker Studio. • Develop data integration and migrations involving platforms such as EQuIS, Enablon, and cloud-based systems (Azure, AWS, GCP). • Build and maintain data pipelines using SQL, Python, and ETL tools. • Collaborate with clients to define data models, data governance, quality, and security standards • Collaborate with clients to design and implement agentic AI workflows. • Support environmental data modeling, reporting, and visualization for groundwater, surface water, air, and biological metrics • Contribute to internal knowledge-sharing initiatives • Engage with clients to understand business needs and deliver tailored data solutions Required Qualifications • Bachelor’s or Master’s degree in Data Analytics, Environmental Science, Computer Science, or related field. • 2+ years of experience in data analytics, data engineering, or environmental data management. • Proficiency in Power BI, Tableau, SQL, and Python. • Familiarity with cloud platforms (Azure, AWS, GCP). • Familiarity with modern data architectures (i.e. Medallion Architecture) and best-practice data engineering principles. • Valid driver’s license and good driving record. • Strong communication and project management skills. • Authorized to work in the United Stated without immigration sponsorship. This position is not eligible for immigration sponsorship. Preferred Qualifications • 4+ years preferred of experience in data analytics, data engineering, or environmental data management. • Certified Data Management Professional (CDMP) or AWS/Azure Data Engineer certification. • Experience with data governance tools (e.g., Alation, Collibra). • Knowledge of ESG reporting frameworks and sustainability metrics. • Experience with Agile or Lean Six Sigma methodologies. • Build and maintain Machine Learning (ML), LLM, Agentic AI systems (OCR, RAG, tool/function calling) for EHS&S use cases. • Working experience building production-grade ML, LLMs, and Agentic systems (RAG, tool/function calling, planning) • Experience with environmental data systems such as EQuIS, Enablon, or similar. • Knowledge of MLOps/LLMOps patterns, vector databases, agent-based architecture, and AI security/privacy. #LI-Hybrid