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.
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.
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