Consultant, Environmental Data & Analytics

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.

• 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

• 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.

• 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 ESGreporting 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