Data Analytics & Validation

PACIV, a global leader in industrial automation solutions servicing the Life Sciences sector, is looking for a Data Analytics & Validation to support the migration of reporting systems from Business Objects (BO) to Power BI within a regulated manufacturing environment. This role ensures accurate data transformation, validation, and compliance while delivering reliable, business-driven reporting solutions.

Position Responsibilities / Essential Functions:

Support migration of reports from BO to Power BI, ensuring accuracy and completeness.

Perform ETL (Extract, Transform, Load) processes from legacy systems into Power BI-ready datasets.

Design and develop Power BI dashboards and datasets based on business requirements.

Develop new Power BI reports and visualizations aligned with stakeholder needs.

Engage with business users to gather, document, and clarify reporting requirements.

Perform validation and reconciliation between BO and Power BI outputs.

Develop and execute test scripts to ensure report quality, accuracy, and compliance.

Support ongoing Power BI enhancements, updates, and new BI initiatives across the site.

Document validation activities, test results, and data flows.

Collaborate with business and IT stakeholders to deliver reporting solutions.

Comply with site training requirements, data integrity policies, and validation procedures.

Provide additional reporting and analytics support as required.

Requirements:

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical discipline.

5+ years of Computer Systems Validation (CSV) experience in regulated environments (preferably GMP).

3+ years of experience in Data Analytics and BI solution development.

Experience validating computer systems in regulated manufacturing operations.

Strong technical documentation skills in English (validation deliverables and test evidence).

Proven experience performing data reconciliation and validation between legacy and target systems.

Ability to work independently and manage multiple priorities.

Availability to support 24/7 manufacturing operations as needed.

Desired Hard Skills:

Power BI dashboard and dataset development.

ETL processes and data modeling.

Business Intelligence (BI) solution development and maintenance.

Data reconciliation and validation methodologies.

Knowledge of GMP, data integrity, and CSV practices.

Desired Soft Skills:

Strong analytical and systematic problem-solving abilities.

Excellent communication and collaboration skills.

Detail-oriented with strong documentation capabilities.

Ability to work effectively in cross-functional teams.

Strong organizational skills and ability to manage competing priorities.