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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