Support Equipment Data Analytics Team Lead (Onsite)

Date Posted:

2026-04-15

Country:

United States of America

Location:

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

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, 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 once again transform the future of flight—designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious. 

Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future.

At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?

Job Summary:
 

We are seeking a highly motivated leader to oversee the Support Equipment Data Analytics Team (SEDAT). In this role, you will guide a multidisciplinary team focused on solving complex business challenges and delivering high-impact digital and analytics solutions. As a visible and influential member of the organization, 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 directly with stakeholders to understand requirements, develop coding logic, create visualizations, and deliver analytics products that enable data-driven decision-making. This role is ideal for a self-motivated, team-oriented professional who thrives in a collaborative environment and is passionate about leveraging data to drive operational improvement and business transformation.

What You Will Do:

• 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.

Qualifications You Must Have:

• 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.

Qualifications We Prefer:

• 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, databas