Graduate Developer — Data Visualization & Analytics (Hybrid)

GHD; Golden (CO); Hybrid; USD 52,000 - 72,000; Full time

Job summary

GHD is seeking a Graduate Developer to join the Data Analytics & Insights team in the United States. You will transform data from diverse projects into visualizations, tools, and data management solutions. The role supports a hybrid model with three days in the office.

Ideal candidates have a BS in CS, Data Science, Environmental Science, or related fields and 0–2 years of developer experience, with JavaScript and Python proficiency.

Qualifications

• Bachelor's degree required in a relevant field.
• Experience with JavaScript and Python is preferred.
• Basic understanding of data manipulation and visualization principles.

Responsibilities

• Collaborate with senior team members to create interactive programs using JavaScript and Python.
• Translate complex data into clear visual formats to communicate insights to clients and stakeholders.
• Contribute to enhancing dashboards and reports to improve user experience.
• Perform quality checks to ensure deliverables accurately reflect source information.
• Support data storage and organization solutions for internal teams.
• Design and implement data management processes for input, processing, and retrieval.
• Stay updated on trends in data visualization and management.
• Collaborate with cross-functional teams to learn and contribute fresh perspectives.
• Engage with environmental scientists and analysts to understand data requirements.

Skills

JavaScript

Python

Data visualization

Front-end/Back-end development

Education

Bachelor's degree in Computer Science, Data Science, Environmental Science, or related field

Tools

Earth Volumetric Studio

Job description

GHD is seeking a Graduate Developer to join the Data Analytics & Insights team in the United States. You will transform data from diverse projects into visualizations, tools, and data management solutions. The role supports a hybrid model with three days in the office.

Ideal candidates have a BS in CS, Data Science, Environmental Science, or related fields and 0–2 years of developer experience, with JavaScript and Python proficiency.