Onsite F135 SAP Configuration Data Analyst

Pratt & Whitney; East Hartford (CT); On-site; USD 87,000 - 165,000; Full time

Job summary

Pratt & Whitney is seeking a dedicated individual contributor for F135 DEPOT Configuration Data Management to maintain accurate SAP configuration data for the F135 MRO/U operations. You will work with SAP, EO and IPD data, lead small projects, and collaborate with cross-functional teams and customers. The role requires a BS/BA, 5 years of data analysis in overhaul environments, and U.S.

citizenship. Advanced degrees and Python/Excel/VB experience are preferred.

Qualifications

• BS/BA degree required.
• 5 years of data analysis, overhaul shop experience, and leading cross-functional teams, or an advanced degree with 3 years data analysis and cross-functional leadership.
• 2 years of experience reviewing technical data, large datasets, and enterprise applications.
• 2 years of experience in turbine engine maintenance methods, engine depot overhaul support, or engine maintenance support at customer locations.

Responsibilities

• Interpret configuration control, Engineering Changes (EC), Time Compliance Technical Directive (TCTD), technical publication, and IPD; integrate data into SAP; extract/manipulate data through automation.
• Independently manage small projects and lead process-improvement initiatives.
• Communicate technical findings to cross-functional teams and external customers.

Skills

Configuration data analysis

Project management

Automation/data extraction

Technical communication

Cross-functional teamwork

Education

BS/BA degree

Master’s degree in Engineering or Computer Science

Tools

SAP MRO solution

Python

Excel

Visual Basic

Job description

Pratt & Whitney is seeking a dedicated individual contributor for F135 DEPOT Configuration Data Management to maintain accurate SAP configuration data for the F135 MRO/U operations. You will work with SAP, EO and IPD data, lead small projects, and collaborate with cross-functional teams and customers. The role requires a BS/BA, 5 years of data analysis in overhaul environments, and U.S.

citizenship. Advanced degrees and Python/Excel/VB experience are preferred.