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:
A 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 States without immigration sponsorship. This position is not eligible for immigration sponsorship.
Preferred Qualifications:
4+ years 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.
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