Data Analyst - Onsite Limerick
Aligned Automation ServicesData 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
• 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 |