About the role
Ayr designs and manufactures critical power grid equipment including power transformers, distribution transformers, special-purpose transformers, high-voltage circuit breakers, and medium-voltage switchgear. They serve markets such as renewables, data centers, utilities, oil & gas, and industrial sectors. They position themselves as partners in power projects, offering lifecycle support and working to deliver faster than average industry timelines.
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About the role
As adataanalyst,you’llsupportengineering decision-making across our product lines, with a focus on electrical transformer design and power systems analysis.You'llbuild tools, scripts, and models to help engineersanalysedata,optimizedesigns, andvalidateperformance.
Our integrated model of combining advanced engineering, tight supply-chain control, and exceptional service empowers you to build resilient solutions that restore reliability and control to the operators who keep the world energized.
What you'll do
- Analyseengineering and test data to support design decisions across transformer and power systems products
- Build scripts, models, and lightweight tools in Python and/or MATLAB to automate analysis workflows
- Support the development of design and performance models (e.g., efficiency, losses, loadbehaviour) alongside engineering teams
- Create clear visualizations, dashboards, or reports to communicate findings to technical and non-technical stakeholders
- Identifytrends, anomalies, or optimization opportunities in engineering datasets
- Collaborate with electrical, controls, and systems engineers to understand data context and requirements
- Maintain clean, well-documented, reusable code and analysis pipelines
Qualifications
- Bachelor's degree in Engineering, Data Science, Statistics, Computer Science, or a related quantitative field (or equivalent experience)
- 2+ years of experience in a data analysis, engineering analytics, or similar role
- Proficiencyin Python and/or MATLAB for data analysis and scripting
- Comfortable working with numerical data, models, and basic statistics
- Strong communicationskills — able to translate data into clear, actionable insights
- Experience with simulation,modelling, or optimization tools
- Familiarity with SQL, dashboarding tools (Tableau, Power BI, etc.), or data visualization libraries
- Background in manufacturing, hardware, or energy industries
- First Principles Thinking
What we offer
- Collaborative work environment
- Challenging problems to solve
- Competitive benefits including medical, dental, and vision
- Equity package