Environment Data Specialist II Full Time

Job Description

AECOM is seeking a Graduate Environmental Data Specialist with 2+ years of experience to support our enterprise environmental data management system (EarthSoft EQuIS). The ideal candidate will have a strong understanding of environmental data and terminology, good communication skills, and the ability to collaborate with both technical and non-technical stakeholders.

This role includes, but is not limited to, the following activities:

Role and Responsibilities:

• The ideal candidate will be able to understand requests from environmental subject matter experts.
• Be a good communicator able to share new functions and features with the users and have a good understanding of environmental data and environmental data terminology.
• Works on issues of diverse scope where analysis of situation or data requires evaluation of a variety of factors, including an understanding of current business trends.
• Prepare and update environmental associated reports sound in understanding environmental data, transforming, and analyzing large and diversified environmental datasets.
• Ability to translate environmental problems through digital and data solutions. Commitment to data quality at all levels and scales.
• Experience in developing custom reports and user-requested queries and views on various platforms of the desired skill set.
• Responsive to client(user) requests. Excellent communicationskills
• Provide technical support to field sampling teams and act as a liaison between the project staff, analytical laboratory, data validator, and GIS analysts.
• Research state and federal regulations necessary to manage action levels or clean-up criteria.

Professional qualification & Experience desired

• Bachelors degree in environmental/civil/chemical engineering or science in a related discipline (or similar subject) desirable with a required focus on Environmental Data and 2+ years of experience working in the environmental domain and preferably have relevant experience with environmental data.

Skills Required:

• Ability to understand data management using excellent computer skills to perform transformations in spreadsheets and databases.
• Expertise and experience with environmental data and database systems (MS SQL Server, MS Access). Expertise with relational databases such as EarthSofts Environmental Quality Information System (EQuIS) /EIM/ ESdat. Ability to continually analyze data at all stages for problems, logic, and consistency concerning field data collection, analytical reporting, and other expertise on EQUIS sub-tools (Collect, Edge, ArcGIS highly desirable but not essential).
• Assist projects globally and task delivery with high quality and within deadlines. Managing data (geological, Field data, chemical laboratory data) for technical report writing and interpretation as required by the team. Maintaining and updating various project dashboards using the web-based EQuIS Enterprise system; and preparing report-ready data tables, charts, and figures for internal review and external client reports.
• Use of visualization tools like Power BI to help management make effective decisions for the environmental domain is desirable but not essential.
• Programming and/or coding experience (e.g., Python,R) a plus.
• Data engineering, AI/ML, and Data science understanding is highly desirable but not essential. Can be in either academic or work experience.
• Intermediate to the expert level understanding of Office 365, Excel, power query & Power automation.
• Strong attention to detail with excellent analytical, judgment and problem-solving capabilities.
• Comfortable running meetings and presentations
• Strong written and oral communication skills

Preferred Requirements:

• Masters degree in environmental/civil/chemical engineering or science in a related discipline (or similar subject) desirable with a required focus on Environmental Data.
• Minimum of 2 -5 years of experience working in the environmental domain and preferably have relevant experience with environmental data.