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
Skills Required
- 3-5 years of experience as a Data Analyst working across multiple operational or enterprise source systems
- 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, including ALCOA+, ideally in a regulated pharma or medtech setting
- Bachelor's degree in Data Science, Statistics, Engineering, or a related field
- Experience with Databricks, including notebooks, SQL warehouses, and Delta Lake
- Familiarity with JIRA for task and workflow management
- Exposure to SAP, MES, or L&D systems as data sources
- Python experience with Pandas or PySpark for data manipulation
- Experience supporting regulatory audits or inspections in a GxP environment
What We Do
Technology, society, economy, policy – all moving at breakneck speed in our 21st century world. You’re feeling the pressure to quickly implement new business models, find new value, make split-second informed decisions and keep one step ahead of customers. How? The answer lies in the ability to make quick, accurate and sustainable business decisions. We believe digital offers a way of doing things better – but the journey to transformation doesn’t have to be painful. At Aligned Automation, we work hard to digitally enable your business strategy – connecting processes, technologies and people to unlock value and drive critical business outcomes.
