Environmental Data Analyst Intern - Summer 2027

The Environmental Data Analyst Intern supports the Environment team in delivering data systems and analytical solutions for environmental investigations and compliance programs. Responsibilities focus on data processing, standardization, quality control, and database management within an agile delivery environment. The role contributes to maintaining a reliable single source of truth (SSOT) for environmental data used in reporting and decision-making, and includes exposure to field data collection processes. The Tepa Companies 2027 Intern Program is a paid opportunity for the duration of 12 weeks, with approximately 40 hours per week in the Denver, CO office.

Responsibilities

Supports data ingestion, standardization, and validation processes for environmental datasets from technical reports, databases, and field sources; Performs data quality reviews to ensure completeness, consistency, and traceability across systems; Assists in maintaining and updating structured environmental databases that support project and program deliverables; Contributes to development of automated workflows and data pipelines for data processing and reporting; Summarizes and organizes data to support technical reporting and decision-making; Participates in Agile team activities, contributing to defined tasks and deliverables within iterative development cycles; Supports integration of datasets across systems and platforms to maintain consistency within the SSOT; Participates in limited field activities to gain understanding of environmental data collection methods and constraints; Collaborates with GIS and field teams by preparing and validating datasets for integration into enterprise data systems; May have direct contact with client on client sites; May support client deliverables through data preparation and reporting

Requirements

Enrolled in a bachelor's degree in Data Science, Environmental Science, Computer Science, Chemistry, Engineering, or a related field; Within 2 years of graduation (rising junior/rising senior); Strong analytical and problem-solving skills with attention to data quality and detail; Ability to work with structured datasets and understand data relationships; Basic familiarity with databases, data processing, or programming concepts; Ability to work independently and as part of an Agile team; Strong written and verbal communication skills

Nice to have

GIS familiarity; Basic knowledge of SQL, Python, or similar tools preferred

Benefits

Comprehensive medical, dental, and vision coverage; Generous paid time off and holidays; 401(k) plan with company match; Life insurance; Flexible spending and health savings account; Mental health support and resources; Short and long-term disability; Tuition reimbursement