Data Analyst - Onsite Limerick

Aligned Automation Services; Limerick; On-site; EUR 40,000 - 65,000; Full time

Job summary

Aligned Automation Services in Limerick, Ireland, is hiring a Data Analyst to extract, validate, and analyze data from the manufacturing data lake. The role spans SAP, MES, L&D, and other source systems, delivering insight for Operations and Quality stakeholders while maintaining ALCOA+ compliance.

You'll build dashboards in Power BI/Tableau, support audits, and collaborate with Manufacturing, IT, and QA to drive data integrity and continuous improvement.

Qualifications

• 3–5 years' experience as a Data Analyst across multiple data sources.
• 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.
• Experience with ALCOA+ data integrity in regulated environments like pharma/medtech.

Responsibilities

• Extract and analyze data from the data lake spanning SAP, MES, L&D, and other sources.
• Build and maintain BI dashboards from lake/lakehouse layers (Databricks) and enterprise systems.
• Own recurring reporting packages covering production, quality, and KPIs across sources.
• Document data lineage, validation steps, and ensure data consistency across systems.

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

Aligned Automation Services Pvt Ltd | Full time

Data Analyst - Onsite Limerick

Limerick, Ireland | Posted on 08/20/2026

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

ROLEOVERVIEW

We are seeking a Data Analyst to extract, validate,and analyze data across our manufacturing data lake within a GxP-regulatedenvironment. Source systems span SAP, MES, L&D, and other operationalplatforms feeding a shared lake/lakehouse architecture. This role turnsdisparate operational data into actionable insight for Operations and Qualitystakeholders, 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

KEYRESPONSIBILITIES

Data Lake Analysis & Reporting

• Extract and analyzedata from the manufacturing data lake, spanning SAP, MES, L&D, and otheroperational source systems
• Build and maintainPower BI/Tableau dashboards sourcing from lake/lakehouse layers (e.g.,Databricks) and other enterprise systems
• Own recurring reportingpackages covering production, quality, and operational KPIs across multiplesource systems
• Reconcile and validatedata across disparate systems feeding the data lake to ensure consistency

Data Integrity & Compliance

• Apply ALCOA+ principlesto all data extraction, transformation, and reporting workflows
• Support audits andinspections by providing traceable, validated data sets across source systems
• Document data lineage,extraction logic, and validation steps per GxP standards
• Flag and elevate datadiscrepancies between source systems and the data lake

Cross-Functional Collaboration

• Partner withManufacturing, Quality, IT, and platform teams to define data lake reportingrequirements
• Translate businessquestions into structured queries, lakehouse reports, or BI visualizations
• Support root causeanalysis for data discrepancies flagged across source systems
• Track and manageanalysis tasks and workflows using JIRA

Process Improvement

• Identify opportunitiesto automate recurring data pulls and manual reconciliation tasks
• Contribute to datagovernance standards across the data lake and its source systems

SKILLSPROFILE

MUST-HAVE HARD SKILLS

• 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
• Ownershipof end-to-end reporting cycles

MUST-HAVE SOFT SKILLS

GOOD-TO-HAVE HARDSKILLS

• Databricks(notebooks, SQL warehouses, Delta Lake)
• JIRA fortask/workflow management
• Cross-functional stakeholder management
• Continuousimprovement mindset
• Adaptability in a fast-changing regulated setting
• Mentoringjunior analysts

GOOD-TO-HAVE SOFTSKILLS

QUALIFICATIONS

Required

• 3–5 years' experienceas a Data Analyst, working across multiple operational/enterprise sourcesystems
• Proven proficiency inSQL and at least one BI tool (Power BI or Tableau)
• Working knowledge ofdata lake, data warehouse, or lakehouse architectures
• Advanced Excel skillsincluding formulas, pivot tables, and data modeling
• Working knowledge ofdata integrity principles (ALCOA+), ideally in a regulated (pharma/medtech)setting
• Bachelor's degree inData Science, Statistics, Engineering, or related field

Preferred

• Experience withDatabricks (notebooks, SQL warehouses, Delta Lake)
• Familiarity with JIRAfor task and workflow management
• Exposure to SAP, MES,or L&D systems as data sources
• Python (Pandas,PySpark) for data manipulation
• Experience supportingregulatory audits or inspections in a GxP environment