Data Analyst - Engineering Systems

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. Website: https://ayr.energy

About the role As a data analyst, you’ll support engineering decision-making across our product lines, with a focus on electrical transformer design and power systems analysis. You'll build tools, scripts, and models to help engineers analyse data, optimize designs, and validate performance. 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

• Analyse engineering 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, load behaviour) alongside engineering teams

• Create clear visualizations, dashboards, or reports to communicate findings to technical and non-technical stakeholders

• Identify trends, 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

• Proficiency in Python and/or MATLAB for data analysis and scripting

• Comfortable working with numerical data, models, and basic statistics

• Strong communication skills — 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