Business Analyst, Advanced Analytics (Onsite)

RTX • East Hartford, CT

4d • Onsite

About The Position

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? The Mature Commercial Engines Aftermarket organization is looking for a Business Analyst, Advanced Analytics to join the Aftermarket Modeling and Strategy group. This role applies advanced statistical modeling to real engineering and business decisions by working with stakeholders to understand requirements, interpret results, and drive action. You will transform critical processes that drive how we predict engine behavior, forecast part demand, and estimate maintenance costs, delivering short-term practical solutions as well as long-term strategic initiatives. We are looking for a person with the desire to dig into complex data, a curiosity to find hidden relationships, a creativity to develop new opportunities, and the ability to communicate complex findings simply and effectively.

Requirements

• Bachelor's degree and 5 years of work experience OR Advanced Degree and 3 years of work experience to include applying advanced analytics within business or engineering environments and including decision focused presentations to all levels of leadership
• U.S. citizenship is required, as only U.S. citizens are authorized to access certain necessary systems.

Nice To Haves

• Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM)
• Prior experience with large datasets, data warehousing, and database management systems
• Demonstrated experience in various data analysis methods and understanding of statistical / probabilistic concepts (Regression Modeling, Weibull Analysis, Bayesian Modeling, Monte Carlo)
• Proven experience in many of the following tools and technologies (SQL, Python, R, PowerBI, Databricks)
• Interest in learning engine performance, module assembly/disassembly, and engine workscoping concepts
• Experience communicating verbally and in writing for presentation to all levels of leadership.

Responsibilities

• Lead the creation of next-gen interval and pricing models and translate results into contract specific forecasts
• Lead continuous improvement of models leveraging new learning, and develop new models to support emerging business needs
• Perform model testing, sensitivity studies, impact assessments, and other investigations for presentation to key stakeholders
• Collaborate with team members to translate findings into scalable, repeatable, and efficient processes for future forecasting needs
• Work with Powerplant Engineering, Finance, Aftermarket, Programs and various shops and vendors to identify emerging aftermarket issues and incorporate these concerns into forecasting processes
• Perform Ad-hoc analysis using existing maintenance and invoice data to find correlations, relationships, patterns etc. using statistical methods or other data analysis techniques
• Program automated data flows, statistical model utilization, analysis processes, and tools to speed up process execution
• Communicate findings, risks, and opportunities found in data to upper management in a comprehensible way

Benefits

• Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays.
• Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level