Senior Data Analyst

Job Description:

Transforms shopfloor data into actionable insights and decision support, enabling KPI visibility, root-cause analysis, and continuous improvement.

This role supports the site Digitalisation programme focused on leveraging existing data, replacing manual data capture/processing with Digital Shopfloor Automation tools, and improving data integrity, traceability, and real-time decision-making across manufacturing and quality.

Responsibilities:

• Develop and maintain dashboards and analytics products for manufacturing and quality performance.
• Translate business questions into analytical approaches; define KPIs, data definitions, and measurement logic.
• Perform exploratory analysis and statistical investigations (e.g., yield, downtime, scrap, process capability).
• Partner with data engineering to ensure reliable data pipelines and semantic layers.
• Drive data literacy through storytelling, training, and adoption support for end-users.

Qualifications and Experience:

Education & Certifications

• Degree in Data/Statistics/Engineering or equivalent experience.
• Strong proficiency in analytics tooling (e.g., SQL, Python/R, BI platforms) and communicating to stakeholders.

Experience

• 7 years relevant experience

Core Competencies

• Advanced SQL & querying
• Statistical analysis
• Data visualisation (Power BI/Tableau)
• Business insight generation
• Data storytelling & stakeholder communication

Key Standards & Practices (as applicable)

• Data governance and master data management practices
• Data quality management (profiling, rules, monitoring)
• Metadata and lineage management
• Privacy-by-design and least-privilege access controls
• ISO 13485 (medical device QMS)
• 21 CFR Part 820 / FDA QSR (and applicable local regulations)
• ISO 14971 (risk management)