Assisting in the management of EHS Support’s centralised environmental data warehouse
Managing and organizing laboratory, field, spatial and geological data to ensure quality and consistency
Actively communicating and coordinating with project managers, laboratories, and/or other team members to acquire data packages of varying formats to be imported to a centralized database system
Obtaining, cleaning, reviewing, synthesizing, and visualising environmental data in an organised and concise manner
Running, modifying, and developing reports and queries to ensure data quality and accuracy
Developing clear, technically accurate data visualization work products to support analysis and presentation of multiple types of datasets
Ensuring standards of data quality and accuracy are met for each project
Generating and documenting reproducible scripts and tools to improve data cleaning and analysis processes
Assisting with development of standards and procedures for data management process improvements
Supporting the preparation of high-quality technical deliverables, figures, models, reports, and other work products as required
Coordinating with internal and external clients to provide data management and analysis solutions
Enhancing the technical capabilities of the team by expanding the knowledge base, improving internal processes, and developing innovative technical approaches
Requirements
Bachelor’s degree in data science, environmental science, geography, GIS, data management, or other data-related field
2+ years of experience managing and analysing environmental datasets
Demonstrated understanding of relational database concepts and principles
Experience maintaining and querying data using EarthSoft’s EQuIS, EarthScience Information Systems’ ESdat, Microsoft SQL Server, Microsoft Access and/or another database platform
Experience analysing environmental data, including robust understanding of Microsoft Excel
Intermediate programming experience (e.g., Python, R); experience with R is preferred
Strong organisational skills and attention to detail and data quality
Ability to think strategically and conceptually about environmental data and develop solutions to support project objectives
Willingness to learn and gain technical expertise by working on multiple projects and with experts in technical areas of practice
Tech Stack
MS SQL Server
Python
SQL
Benefits
Equal opportunity employer
Safe and healthy work environment that promotes wellness