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 escalate 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 MUST-HAVE SOFT 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 GOOD-TO-HAVE SOFT 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 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