The role focuses on data analytics, integration, and visualization within the energy transition sector, producing high-quality work to support critical business decisions by managing diverse datasets, building data pipelines, and formulating analysis of market trends.
Responsibilities
Aggregate and manage diverse datasets, keeping them consistent, traceable, and well documented
Safeguard data quality through validation, cross-checking, and triangulation
Produce clear, high-impact visualizations with transparent assumptions and reproducible logic
Build and automate data pipelines and content-generation workflows to ensure outputs scale
Connect datasets across markets, technologies and value chains to surface emerging patterns, gaps and implications
Requirements
Degree in a quantitative field (e.g., economics, engineering, data science)
Develop reporting and trend-analysis capabilities that help customers quantify the operational value and performance improvements delivered through their Tantalus deployments
Analyze outage performance, reliability, power quality, device performance, and other operational metrics to identify meaningful trends, risks, and improvement opportunities.
Support the development of benchmarking models that compare performance across customer deployments and help utilities understand their relative cost position and operational outcomes.
Enhance existing analytics models, reporting frameworks, and internal analytics initiatives.
Requirements
Bachelor’s degree in Computer Science, Data Science, Software Engineering, Statistics, Mathematics, Engineering, or a related field.
Nice to have: Internship
Nice to have: co-op
Nice to have: academic project
Nice to have: research experience involving data analytics, machine learning, software development, or reporting solutions
