Consultant, Environmental Data & Analytics

ERM•Denver, CO

1d•Hybrid

About The Position

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 At ERM, sustainability is our business. We are the world’s largest advisory firm focused solely on sustainability, offering unparalleled expertise across business and finance. ERM partners with clients to operationalize sustainability at pace and scale, through our unique combination of strategic transformation and technical delivery capabilities. Our diverse global team of experts works with the world’s leading organizations to help them set clear sustainability targets, measure progress and operationalize strategy through deep implementation and business transformation. With more than 50 years of experience, our ability to integrate sustainability solutions and our depth and breadth of technical knowledge are why organizations choose to partner with us as their trusted advisor. Every one of us firmly believes in the potential to create value for our clients through an integrated approach to sustainability (because we have personally seen it and professionally achieved it). Our team members are passionate about client service. We work closely with our clients to help them operationalize their sustainability goals and meet their environmental, health and safety objectives while advancing ERM’s purpose through delivering tangible progress in what the United Nations coined The Decade of Action. Organizing our people across globally integrated communities of technical and strategic talent positions ERM to be a “boots to boardroom” leader in bringing that value creation to our clients, partners, and the world. We recruit exceptional professionals with a personal and professional passion for sustainability and nurture them to even greater success as specialists. We prepare our consultants to bring integrated, innovative and sustainable solutions to our clients and provide opportunities for ongoing development across a variety of subject areas related to technical, business, and personal growth. At ERM, effort pays off and becomes career defining work that leaves a positive imprint on our planet. ERM Homepage Explore All Open Roles Explore Early Careers Roles Explore Experienced Professional Roles Explore Partnership Roles

Requirements

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.

Nice To Haves

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.

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

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