The Data Analyst will collect, integrate, analyze, and interpret large and complex datasets to identify trends, data quality gaps, process issues, and improvement opportunities to support large-scale supply chain transformation and digital initiatives.
Responsibilities
Analyze large and complex datasets using SQL, Python, Excel, and other analytical tools to identify trends, patterns, anomalies, and business opportunities.
Translate complex business problems and supply chain requirements into structured analytical approaches and actionable insights.
Perform root-cause, variance, and exploratory analysis to identify drivers behind data quality, operational, planning, and process issues.
Develop analytical models, metrics, and data-driven recommendations to support business and operational decision-making.
Perform data profiling, validation, reconciliation, and quality analysis across multiple data sources and systems.
Requirements
Bachelor’s or Bachelor’s + Masters degree in Data Science
The Data Support Specialist III is responsible for supporting data quality, reporting, testing, and operational processes across IT and business functions. This role analyzes data, resolves discrepancies, develops reports, supports UAT activities, maintains documentation, and collaborates with stakeholders to ensure the accuracy, integrity, and availability of critical business information.
Compensation
Pay Range: $21.00 - $25.00/Hourly
Responsibilities
Collect, validate, and maintain data from multiple systems to ensure accuracy and completeness.
Create, analyze, and distribute reports, dashboards, and data summaries for business and IT stakeholders.
Research and resolve data discrepancies, missing information, and system-related data issues.
Support User Acceptance Testing (UAT) by creating, maintaining, and validating test data and test results.
Monitor data quality and perform audits to identify errors, trends, and opportunities for improvement.
Support healthcare data initiatives through analysis, validation, and quality assurance.
Responsibilities
Perform data analysis, validation, and reconciliation of healthcare datasets using SQL and Excel.
Support data standardization, mapping, and development of business and medical data rules and logic.
Investigate data-related issues, identify root causes, and coordinate with relevant teams towards resolution.
Collaborate with internal and external stakeholders to clarify data needs and communicate findings.
Maintain documentation and contribute to improvements in data quality and data management practices.
Requirements
Degree or equivalent qualification in Data Science, Data Analytics, Health or Medical Informatics, Biomedical Science, Public Health, Statistics, Information Systems, Medicine, Health Sciences, or related fields.
Seeking an experienced Data Architecture Senior Consultant to join the Technology Consulting team, shaping data strategy for clients, ensuring high-quality data infrastructure, and delivering actionable insights.
Responsibilities
Define and design robust data solutions that support business objectives
Collaborate with cross-functional teams to understand requirements
Architect scalable data platforms
Ensure data integrity and accessibility
Design enterprise data & integration reference architecture to decouple compute and storage systems
Support and improve product information across digital channels, manage data quality, category optimization, and AI-driven initiatives.
Compensation
Annualized Compensation Range $49,000.00 - $56,000.00
Responsibilities
Manage product data and category optimization activities using established frameworks, governance standards, and trusted sources.
Create and maintain web hierarchies, primary product hierarchy structures, product attributes, lists of values, facets, display structures, and classification rules.
Conduct product and category data audits to identify gaps in quality, completeness, consistency, duplication, classification, and customer-facing information.
Complete data cleanup, enrichment, backfill, and structural improvements to support accurate and useful product information.
Partner with cross-functional stakeholders to gather requirements, validate changes, resolve product information issues, and communicate risks or downstream impacts.
Senior Scientist, Data Science – R&D DDSAI – Therapeutics Development & Supply (TDS) focusing on data product engineering to build and maintain scalable data pipelines, data integration workflows, and AI-ready data products that support analytics, AI/ML applications, and digital transformation across the development-to-supply continuum.
Locations (3)
Beerse, Antwerp, Belgium
Madrid, Madrid, Spain
Turnhout, Antwerp, Belgium
Compensation
The anticipated base pay range for this position is: €56,000.00 - €88,780.00
Responsibilities
Build and maintain data pipelines for integrating, cleaning, and transforming TDS data from diverse sources and systems into reusable and governed data products
Develop and optimize data flows for structured and unstructured data using Python, SQL, cloud services, and modern engineering tools
Senior Scientist, Data Science
6084-Janssen Research & Development Legal Entity · Posted Nov 3, 2026
Senior Scientist, Data Science with a focus on data product engineering to build and maintain scalable data pipelines, data integration workflows, and AI-ready data products that support analytics, AI/ML applications, and digital transformation across the development-to-supply continuum for Therapeutics Development & Supply (TDS).
Locations (3)
Beerse, Antwerp, Belgium
Madrid, Madrid, Spain
Turnhout, Antwerp, Belgium
Compensation
The anticipated base pay range for this position is:
€56,000.00 - €88,780.00
Responsibilities
Build and maintain data pipelines for integrating, cleaning, and transforming TDS data from diverse sources and systems into reusable and governed data products
Develop and optimize data flows for structured and unstructured data using Python, SQL, cloud services, and modern engineering tools
Support the creation and maintenance of TDS-specific data repositories, implementing enterprise data models and quality standards
Contribute to the delivery of AI-ready data products by ensuring data is well-structured, versioned, traceable, and semantically aligned with enterprise standards
Implement and maintain semantic mappings and components of semantic layers
Requirements
Advanced degree in Engineering, Data Science, Life Sciences, Computer Science, or a related field
Nice to have: NoSQL databases
Nice to have: scientific manufacturing or healthcare data environments
Nice to have: regulated or standards-driven data environments
Support the creation and maintenance of TDS-specific data repositories, implementing enterprise data models and quality standards
Contribute to the delivery of AI-ready data products by ensuring data is well-structured, versioned, traceable, and semantically aligned with enterprise standards
Implement and maintain semantic mappings and components of semantic layers
Requirements
Advanced degree in Engineering, Data Science, Life Sciences, Computer Science, or a related field
Nice to have: NoSQL databases
Nice to have: scientific manufacturing healthcare data environments
Nice to have: regulated or standards-driven data environments
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