Equipment Data Analytics Team Lead; Onsite

Overview

Location:

US-CT-EAST HARTFORD-CTC ~ 400 Main St ~ BLDG CTC

Date Posted:

Country:
United States of America

Position Type:
Onsite

U.S. Citizenship or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:
None/Not Required

Security Clearance Status:
Not Required

Pratt & Whitney is working to transform the future of flight—designing, building and servicing engines unlike any the world has ever seen. We’re seeking the people to drive it. Join a tight-knit team that takes our mission personally and shape an organization and an industry evolving fast to the future.

We are seeking a highly motivated leader to oversee the Support Equipment Data Analytics Team (SEDAT). You will guide a multidisciplinary team to solve complex business challenges and deliver high-impact digital and analytics solutions. You will work on the front line of engagement—supporting business partners across Pratt & Whitney and the broader analytics community. The Team Lead will collaborate with stakeholders to understand requirements, develop coding logic, create visualizations, and deliver analytics products that enable data-driven decision-making.

• Develop scalable and adaptable analytics solutions to support Global Logistics and Support Equipment Readiness (GLaSER).
• Provide analytics and digital support for Support Equipment (SE) needs across all engine programs, including F135, F119, F100, F117, and APU.
• Develop and manage analytics products using Power BI and Qlik Sense to enable data-driven decision-making for business partners.
• Source, clean, and prepare data from multiple systems to support downstream analytics and reporting needs.
• Engage directly with business partners to gather requirements, develop coding logic, build visualizations, and deliver solutions that address complex business challenges.
• Collaborate with cross-functional teams involved in data management, governance, and analytics platform operations.
• Create and maintain technical documentation for all developed products while adhering to established team development and documentation processes.
• Contribute in a Lean and Agile team environment to design, build, test, implement, and support analytics and digital solutions.
• Utilize data transformation and visualization tools such as Power BI, Power Query, SQL, and Excel to build impactful analytics products.
• Apply foundational statistical concepts (e.g., mean, range, standard deviation, probability) to support accurate and meaningful data analysis.
• Leverage working knowledge of SAP, including Warehouse, Requisition, Contracts, Procurement, and Fleet Management T-Codes, to extract, interpret, and analyze operational data.

• Bachelor’s degree in a quantitative discipline. i.e., Engineering, Computer Science, MIS, Economics, Math. Other degrees are acceptable with an appropriate background in analytics with 8+ years of experience or an Advanced Degree with a minimum of 5+ years of relevant experience.
• Must be a U.S. Citizen. This position may require access to systems/tools that are restricted to individuals who possess US citizenship.

• Master’s degree in engineering, Computer Science, Data Analytics, or a related STEM discipline.
• Proficiency in advanced Excel functions and strong working knowledge of Microsoft Office applications, including Word and PowerPoint.
• Experience or interest in Business Intelligence tools such as Power BI, Power Query, Qlik, Tableau, or comparable platforms.
• Demonstrated program management capability, with experience leading projects using Agile methodologies.
• Familiarity with SQL, database structures, and both Waterfall and Agile software development practices.
• Ability to prioritize in a dynamic environment, working independently or collaboratively to align project scope, timelines, and communication.
• Self-motivated and customer-focused, with strong relationship-building skills and the ability to adapt to shifting priorities.
• Strategic, data-driven mindset with strong analytical skills, sound judgment, and…