Receipt Verification (RV) Data Analyst

Overview We are seeking three (3) RV Data Analysts to support data management activities for a large‑scale pharmaceutical capital project. These roles will focus on receipt verification (RV), equipment data validation, and backend dataset control across multiple platforms. Candidates may come from a junior C&Q background—what matters most is strong Excel/data literacy combined with fundamental understanding of pharmaceutical equipment (valves, transmitters, instrumentation, etc.). These analysts will help the PIM Manager process and validate over 100,000+ pieces of asset and equipment data, ensuring accuracy and readiness for maintenance, commissioning, and long‑term system integration. K ey Responsibilities • Own backend management of large pharmaceutical asset datasets (01910, RV, CLIA, KNEAT, LP1x, Non‑PVP), including post‑RV verification, record locking, and dataset publication. • Coordinate the receipt, validation, consolidation, and controlled transmittal of approved engineering and vendor data from DB companies, Fluor, and service providers. • Validate, reconcile, and publish final locked 01910 datasets after RV completion across design, purchased, and installed equipment. • Manage approved non‑RV data updates (e.g., calibration ranges, metadata fixes) under formal change control while ensuring full traceability and audit readiness. • Perform cross‑dataset reconciliation between 01910, RV records, CLIA data, and source files to identify mismatches, gaps, or as‑building issues. • Act as a liaison between PIM, Fluor, DB contractors, and Site teams to align all Non‑PVP and LP1x equipment data (asset tags, serial numbers, instrumentation metadata). • Build and maintain advanced Excel trackers, validation logic, metrics dashboards, and automated SharePoint queries for large datasets. • Support the PIM Manager with ongoing data readiness assessments, issue resolution, governance workflows, and quality checks. • Validate that RV forms match the physical equipment received, ensuring equipment identity, serial number alignment, and correct data population before release to maintenance teams. Must-Have Qualifications • Pharmaceutical project experience (required). • Strong Excel skills: formulas, logic, lookups, pivoting, data validation, and large dataset management. • Ability to understand basic pharmaceutical equipment: valves, temperature transmitters, instrumentation, equipment classes, etc. • Experience working with structured data, reporting, or data governance. • Strong attention to detail and ability to manage high‑volume, high‑accuracy workloads. • Ability to work onsite and collaborate with engineering, QA, maintenance, and vendor partners. Preferred Qualifications • Experience in Commissioning & Qualification (C&Q), especially in data‑heavy roles. • Experience with datasets such as 01910, RV, CLIA, KNEAT, or asset management systems. • Background working with design‑build contractors or vendor documentation. • Familiarity with change control processes and audit requirements.