Property Administrator II - Operations Data Analyst

NASA Jet Propulsion Laboratory

1d•$85,592 - $95,056

About The Position

The Asset and Property Management Group within JPL’s Facilities and Logistics Operations Division is seeking a Property Administrator II (Operations Data Analyst) to turn property, inventory, warehouse, procurement, and material-management data into actionable operational intelligence. The role supports initiatives including Equipment Library expansion, Oracle MRP implementation, Item Master data quality, inventory optimization, material reuse, and warehouse modernization. It involves analyzing data across multiple enterprise systems and replacing manual, record-by-record processes with automated queries, interactive dashboards, and prioritized workflows to inform operational decisions across the Laboratory. JPL is located in Pasadena, California, on a campus-like environment situated on 177 acres in the foothills of the San Gabriel Mountains. The Facilities and Logistics Operations Division supports the physical development, maintenance, and safe operation of JPL infrastructure. Its Logistics & Operations Planning Section drives institutional logistics operations across asset control, material movement, inventory management, and technical services.

Requirements

Typically requires a bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Industrial Engineering, Operations Research, Mathematics, Statistics, or a related discipline and 3 years of related experience, or a master's degree and 1 year of related experience.
Experience analyzing structured business or operational datasets.
Strong Microsoft Excel skills and experience with data-analysis or business-intelligence tools.
Experience extracting, cleansing, joining, and validating data from multiple sources.
Ability to identify trends, anomalies, exceptions, and relationships within large datasets.
Ability to translate analytical findings into clear business recommendations.
Strong problem-solving and communication skills.

Nice To Haves

Experience with SQL, Python, Power BI, Tableau, Onyx AI, or similar analytical technologies.
Experience with Oracle, ERP, MRP, warehouse-management, inventory, or asset-management systems.
Experience analyzing supply-chain, manufacturing, logistics, property, procurement, or warehouse data.
Familiarity with Item Master governance and material master data.
Experience developing automated dashboards and exception reports.
Experience in aerospace, defense, engineering, manufacturing, or other highly regulated technical environments.
Familiarity with data visualization, predictive analytics, or AI-assisted data analysis.

Responsibilities

Extract, cleanse, join, and analyze large operational datasets.
Analyze property, inventory, Item Master, MRP, procurement, warehouse, and utilization data.
Identify duplicate, incomplete, or potentially inaccurate records.
Develop analytical methods to identify old, inactive, or underutilized inventory.
Analyze historical demand, consumption, availability, and material movement.
Identify potential material reuse opportunities before new procurement.
Support Equipment Library onboarding by identifying common equipment, utilization patterns, duplicate capabilities, and candidate inventory.
Support Oracle MRP implementation through Item Master cleansing, classification, standardization, and exception analysis.
Analyze warehouse inventory to support retention, consolidation, footprint reduction, and disposition decisions.
Develop dashboards and performance metrics for inventory, property, warehouse, library, and MRP operations.
Automate recurring reports and manual data-reconciliation activities.
Develop exception-based reporting that directs operational personnel toward records requiring action.
Partner with Property Administrators, material planners, warehouse personnel, engineering organizations, and management to convert analytical findings into executable actions.
Document data definitions, analytical methodologies, business rules, and reporting logic.