Data and System Specialist

Key Skills

Data Analysis Expressions- DAX, Data management, Data Modeling, Data Visualization, Machine learning techniques, Python Programming, R Programming, VBA

Job Description

A day in the life…

• Day-to-day, you will work with the water quality team to expand and strengthen our data processing and visualization tools, with opportunities to collaborate with other environmental digitization and database teams within WSP;
• You’ll be part of a company wide initiative to grow our environmental digitization tools to become a market leader in the way that we visualize and analyze large environmental datasets;
• You’ll be proficient in python, VBA, R, and other coding languages, with the ability to interpret and update code from existing tools. You will troubleshoot/update tool functions with support from the technical team;
• You’ll be a leader and innovator in the development of Power BI dashboards used to visualize environmental data on mining projects throughout Canada;
• You’ll be working with a focus group who track water quality guideline updates in Canada, and you will support the team with managing these updates and issuing new versions of our data processing tools based on these guidelines;
• You’ll train and mentor our team in the use of our tools, and present learning opportunities to other groups to expand your professional network;
• Working closely with project teams, you’ll help identify new opportunities to expand the use of our water quality and environmental digitization tools, presenting to clients as needed, and helping troubleshoot and develop tools for project work.

We'd love to hear from you if you have...

• A university degree in environmental sciences, computer science, or software development;
• Environmental data management experience and a related technical background is an asset;
• Effective communication skills with the ability to move projects forward independently, provide training to others on the team on tools, and seek out technical support when needed;
• A track record of using R, python, and VBA to develop data management, assessment, and visualization tools;
• Has a strong understanding of DAX, data modelling patterns and experience sharing reports with external users;
• Experience with ingesting and consolidating data from external sources using Power Quer;
• Are familiar with Microsoft Power Platform and can leverage the M365 environment for operational excellence;
• A desire to stay current with industry trends and emerging technologies in data science, machine learning, and data visualization.