RTX · 19 hours ago
Business Analyst, Advanced Analytics (Onsite)
US-CT-EAST HARTFORD-OBG ~ 400 Main St ~ BLDG OBG
Full-time
Onsite
Mid, Senior Level
$87K/yr - $165K/yr
3+ years expRTX is a leading company in the aerospace sector, seeking a Business Analyst, Advanced Analytics to join their Aftermarket Modeling and Strategy group. This role involves applying advanced statistical modeling to engineering and business decisions, transforming processes related to engine behavior prediction, part demand forecasting, and maintenance cost estimation.
AerospaceManufacturingSecuritySensorTelecommunications
No H1B
U.S. Citizen Only
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
Qualification
Required
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
Preferred
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
Benefits
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
Holidays
Company
RTX
RTX is comprised of three market-leading businesses – Collins Aerospace, Pratt & Whitney and Raytheon – working as one to answer the biggest questions and solve the hardest problems in aerospace and defense.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$3.2MKey Investors
LIFT Ecosystem Accelerator
2024-02-22Grant· $0.2M
2019-06-09Acquired
2010-01-14Grant· $3M
Leadership Team
Daniel Conroy
Chief Technology Officer - Digital
Kevin DaSilva
Corporate Vice President & Treasurer
Recent News
bloomberglaw.com
2026-01-22
Business Insider
2026-01-09
Company data provided by crunchbase