Managing Consultant, Environmental Data & Analytics

ERM • Houston, TX

218d • Hybrid

About The Position

ERM is seeking a Managing Consultant, Environmental Data & 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 lead the design and implementation of data solutions that support environmental, health, safety, and sustainability (EHS&S) initiatives for global clients.

Requirements

• Bachelor's or Master's degree in Data Analytics, Environmental Science, Computer Science, or related field.
• 4+ years of experience in data analytics, data engineering, or environmental data management.
• Proficiency in Power BI, Tableau, SQL, and Python.
• Experience with environmental data systems such as EQuIS, Enablon, or similar.
• Familiarity with cloud platforms (Azure, AWS, GCP).
• Strong communication and project management skills.
• This position is not eligible for immigration sponsorship.

Nice To Haves

• 6+ years preferred of experience in data analytics, data engineering, or environmental data management.
• Certified Data Management Professional (CDMP) or AWS 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.

Responsibilities

• Design and develop interactive dashboards and reports using Power BI, Tableau, and Looker Studio.
• Lead data integration and migration projects involving platforms such as EQuIS, Enablon, and cloud-based systems (Azure, AWS, GCP).
• Collaborate with clients to define data strategies, governance frameworks, and quality standards.
• Build and maintain data pipelines using SQL, Python, and ETL tools.
• Support environmental data modeling, reporting, and visualization for groundwater, surface water, air, and biological metrics.
• Mentor junior team members and contribute to internal knowledge-sharing initiatives.
• Engage with clients to understand business needs and deliver tailored data solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees