Senior Data Analyst

EPM Scientific; Tipperary; On-site; EUR 90,000 - 130,000; Full time

Job summary

EPM Scientific in Ireland is seeking a Senior Data Analytics professional to transform shopfloor data into actionable insights and decision support, enabling KPI visibility and continuous improvement on the manufacturing line.

You will lead dashboards, analytics, and data governance initiatives, partnering with data engineering to ensure reliable data pipelines and real-time decision-making across manufacturing and quality functions.

Qualifications

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

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.

Skills

Advanced SQL

Statistical analysis

Data visualization

Data storytelling

Stakeholder communication

Education

Degree in Data/Statistics/Engineering or equivalent

Tools

SQL

Python

R

Power BI

Tableau

Job description

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)