Quality Data Analyst

Role overview

Responsibilities

• Develop and maintain quality and warranty dashboards for regional and global stakeholders.
• Consolidate and transform data from multiple systems into reliable reporting datasets.
• Analyze data for trends, anomalies, and performance drivers.
• Build data models, calculations, and reporting logic for a single source of truth.
• Partner with Quality, Engineering, Service, and Operations on reporting solutions.
• Improve reporting through validation, cleansing, reconciliation, documentation, and standardization.

Skills and experience

• Degree in Data Science, Mathematics, Statistics, Computer Science, Engineering, or a related discipline.
• 2–5 years of data analysis, reporting, or business intelligence experience.
• Strong analytical skills and ability to interpret complex datasets.
• Dashboard and reporting experience with Power BI, Tableau, or similar tools.
• Knowledge of data modeling, transformation, and reporting best practices.
• Strong SQL and data manipulation skills.
• Clear stakeholder communication, attention to detail, and commitment to data accuracy.
• Able to manage multiple priorities and work independently.
• Experience with data from multiple systems and sources is advantageous.

Compensation

• Compensation is determined based on position and responsibilities; no compensation cadence or amount is stated.

Work arrangement

• Hybrid working arrangement, split between remote work and the Global Technology Centre in Burgess Hill.

Application process

• Selection includes interviews and may include skills assessments.