Data Analyst - Onsite Limerick

Aligned Automation; Limerick; On-site; EUR 45,000 - 65,000; Full time

Job summary

Aligned Automation in Limerick, Ireland, is seeking a Data Analyst to extract, validate, and analyze data across the manufacturing data lake within a GxP-regulated environment. Source systems include SAP, MES, L&D, and other platforms feeding a shared lakehouse.

You will turn disparate data into actionable insights for Operations and Quality while maintaining ALCOA+ data integrity and supporting audits. This role collaborates with cross-functional teams and uses BI tools to deliver recurring KPI

Qualifications

• 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

Responsibilities

• 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

Skills

Data Lake

Data Warehouse

Lakehouse

SQL

Power BI

Tableau

Databricks

SAP

MES

JIRA

Data Validation

GxP

ALCOA+

ETL

Data Governance

Education

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

Tools

Databricks

JIRA

SAP

MES

L&D

Job description

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