Data Analyst: Cell Validation

Summary

The Cell Product Ownership & Validation team drives product delivery by transforming requirements into validated, design-representative products. The team ensures that lithium-ion cells meet the highest standards of performance, safety, and reliability through robust testing and data analysis.

As a Data Analyst, you will support cell validation activities by developing and applying data analysis tools and methods to process, visualise, and interpret large volumes of test data generated across concept, design, and process validation (CV, DV, PV). You will work closely with validation engineers to enable data-driven assessment of cell performance, informing technical decisions.

You will contribute to the development of automated data pipelines and standardised reporting, improving data quality, traceability and accessibility.

Key Accountabilities and Responsibilities

• Analyse and interpret large datasets from lithium-ion cell validation testing (performance, durability, and safety).
• Develop, maintain and improve automated data processing and analysis pipelines using Python, MATLAB or similar tools.
• Collaborate with validation, test operations, and product owner teams to understand data requirements and improve data accessibility.
• Create dashboards and analytics tools to monitor validation progress, cell performance trends, and test status.
• Identify trends, variability, and anomalies in large data sets across test campaigns failures
• Contribute to continuous improvement of data standards, analytics workflows and reporting methods
• Maintain structured and traceable records of scripts, datasets, and analytical outputs.

Knowledge, Skills and Experience

Essential

• Degree in Data Science, Engineering, Physics, Computer Science, or a related field with 2+ years of experience in a data analysis role
• Strong programming skills in MATLAB and/or Python applied to battery cell data, with experience handling large, structured datasets
• Proven ability to develop automated analysis outputs and technical reports
• Solid experience in data visualisation and statistical analysis to communicate trends, variability and performance metrics
• Ability to work effectively with cross-functional technical teams and clearly communicate analytical findings