Posted 22 August, 2026
Data Analyst - Onsite Limerick
Aligned Automation
Limerick, Limerick, Ireland
Full Time
Reference: 1964545948
Job Description
Data Analyst
Data & AnalyticsLimerick, Ireland(Onsite)Full-Time3-5 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 orTableau
• Data lake /lakehouse concepts (bronze-silver-gold, schema-on-read)
• Excel(Advanced formulas, pivot tables)
• Datavalidation across multiple source systems
• Clearcommunication with non-technical stakeholders
• Attentionto detail under GxP scrutiny
• Ownershipof end-to-end reporting cycles
• Comfortablereconciling data across disparate sources
GOOD-TO-HAVE HARDSKILLS
GOOD-TO-HAVE SOFTSKILLS
• Databricks(notebooks, SQL warehouses, Delta Lake)
• JIRA fortask/workflow management
• SAP ERPdata exposure (MM/PP/SD/QM)
• MES orL&D system data exposure
• Python(Pandas, PySpark)
• Cross-functional stakeholder management
• Continuousimprovement mindset
• Adaptability in a fast-changing regulated setting
• Mentoringjunior 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
Data Analyst
Data & AnalyticsLimerick, Ireland(Onsite)Full-Time3-5 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 orTableau
• Data lake /lakehouse concepts (bronze-silver-gold, schema-on-read)
• Excel(Advanced formulas, pivot tables)
• Datavalidation across multiple source systems
• Clearcommunication with non-technical stakeholders
• Attentionto detail under GxP scrutiny
• Ownershipof end-to-end reporting cycles
• Comfortablereconciling data across disparate sources
GOOD-TO-HAVE HARDSKILLS
GOOD-TO-HAVE SOFTSKILLS
• Databricks(notebooks, SQL warehouses, Delta Lake)
• JIRA fortask/workflow management
• SAP ERPdata exposure (MM/PP/SD/QM)
• MES orL&D system data exposure
• Python(Pandas, PySpark)
• Cross-functional stakeholder management
• Continuousimprovement mindset
• Adaptability in a fast-changing regulated setting
• Mentoringjunior 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
