Data Analyst - Onsite Limerick

Data Analyst

Data & Analytics | Limerick, Ireland (Onsite) | Full-Time | 3-5 Years Experience

ROLE OVERVIEW

We are seeking a Data Analyst to extract, validate, and analyze data across our manufacturing data lake within a GxP-regulated environment. Source systems span SAP, MES, L&D, and other operational platforms feeding a shared lake/lakehouse architecture. This role turns disparate operational data into actionable insight for Operations and Quality stakeholders, while maintaining full compliance with data integrity standards (ALCOA+).

KEY SKILLS & KEYWORDS

• Data Lake


• Data Warehouse


• Lakehouse


• SQL


• Power BI


• Tableau


• Databricks


• SAP


• MES


• JIRA


• Data Validation


• GxP


• ALCOA+


• ETL


• Data Governance

KEY RESPONSIBILITIES

Data Lake Analysis & Reporting

• Extract and analyze data from the manufacturing data lake, spanning SAP, MES, L&D, and other operational source systems


• Build and maintain Power BI/Tableau dashboards sourcing from lake/lakehouse layers (e.g., Databricks) and other enterprise systems


• Own recurring reporting packages covering production, quality, and operational KPIs across multiple source systems


• Reconcile and validate data across disparate systems feeding the data lake to ensure consistency

Data Integrity & Compliance

• Apply ALCOA+ principles to all data extraction, transformation, and reporting workflows


• Support audits and inspections by providing traceable, validated data sets across source systems


• Document data lineage, extraction logic, and validation steps per GxP standards


• Flag and escalated data discrepancies between source systems and the data lake

Cross-Functional Collaboration

• Partner with Manufacturing, Quality, IT, and platform teams to define data lake reporting requirements


• Translate business questions into structured queries, lakehouse reports, or BI visualizations


• Support root cause analysis for data discrepancies flagged across source systems


• Track and manage analysis tasks and workflows using JIRA

Process Improvement

• Identify opportunities to automate recurring data pulls and manual reconciliation tasks


• Contribute to data governance standards across the data lake and its source systems

SKILLS PROFILE

MUST-HAVE HARD SKILLS

• SQL (intermediate/advanced)


• Power BI or Tableau


• Data lake / lakehouse concepts (bronze-silver-gold, schema-on-read)


• Excel (Advanced formulas, pivot tables)


• Data validation across multiple source systems


• Clear communication with non-technical stakeholders


• Attention to detail under GxP scrutiny


• Ownership of end-to-end reporting cycles


• Comfortable reconciling data across disparate sources

GOOD-TO-HAVE HARD SKILLS

• Databricks (notebooks, SQL warehouses, Delta Lake)


• JIRA for task/workflow management


• SAP ERP data exposure (MM/PP/SD/QM)


• MES or L&D system data exposure


• Python (Pandas, PySpark)


• Cross-functional stakeholder management


• Continuous improvement mindset


• Adaptability in a fast-changing regulated setting


• Mentoring junior analysts

GOOD-TO-HAVE SOFT SKILLS

• JIRA for task/workflow management


• Python (Pandas, PySpark)


• Cross-functional stakeholder management


• Continuous improvement mindset


• Adaptability in a fast-changing regulated setting


• Mentoring junior analysts

QUALIFICATIONS

Required

• 3–5 years' experience as a Data Analyst, working across multiple operational/enterprise source systems


• Proven proficiency in SQL and at least one BI tool (Power BI or Tableau)


• Working knowledge of data lake, data warehouse, or lakehouse architectures


• Advanced Excel skills including formulas, pivot tables, and data modeling


• Working knowledge of data integrity principles (ALCOA+), ideally in a regulated (pharma/medtech) setting


• Bachelor's degree in Data Science, Statistics, Engineering, or related field

Preferred

• Experience with Databricks (notebooks, SQL warehouses, Delta Lake)


• Familiarity with JIRA for task and workflow management


• Exposure to SAP, MES, or L&D systems as data sources


• Python (Pandas, PySpark) for data manipulation


• Experience supporting regulatory audits or inspections in a GxP environment

CORE COMPETENCIES

• Multi-Source Data Proficiency


• Regulatory Awareness (GxP)


• Analytical Problem-Solving


• Stakeholder Communication


• Data Visualization


• Attention to Detail


• Process Automation


• Cross-Functional Collaboration

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