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Key Responsibilities:
Collect and analyzecomplex datasets, turning data into meaningful and actionable insights and metrics.
Use statistical and analytical techniques to find trends, interpret the data and study patterns that help influence business decisions and recommend changes in enterprise operations.
Perform analysis that helps the company improve efficiency, understand customer requirements, and increase profits.
Develop processes, tools and checklists to monitor and analyze data model performance and accuracy.
Deliver analytical insights in a manner that is scalable, repeatable, and automated.
Work with all Operational functions to identify leading and lagging indicators of operational performance in manufacturing, supply chain, warehousing, planning, and scheduling.
Develop and publish meaningful metrics and reports that will drive action towards business goals and objectives.
Participate in presentation of reports to key internal stakeholders, effectively communicating the steps taken to create the output.
Collaborate with global business teams to understand the problems and design scalable solutions.
Work with Global Technology to ensure that solutions are up to current standards and best practices.
Stay up-to-dateon the latest technologies and build new skills in data engineering, technologies and platforms.
Basic Qualifications:
BSin Engineering, Mathematics, Statistics, Analytics, Economics with 9+ years prior relevant engineering experience OR Advanced Degree in Data Science, Engineering, Mathematics, Statistics with and4+ years prior relevant engineering experience.
4+ years as a Data Analyst, with a strong track record of designing and implementing data analytics solutions.
Predictive modeling experience.
Experience with Databricks, Snowflake, MapReduce, Spark or other Big Data platforms
Experience working in cloud platforms such as AWS and Azure.
Outstanding written and verbal communication skills in English.
Exceptional interpersonal skills with the ability to cultivate strong relationships with internal and external stakeholders. Demonstrated experience in fostering collaboration and driving alignment across diverse teams.
Self-starter with high level of intellectual curiosity.
Strong analytical and hardworking problem-solving mindset
Preferred Qualifications:
Experience in Aerospace & Defense Processes from Design to Manufacturing to After Sales & Support
Experience with building dashboards and navigating data visualization tools such as Tableau, Power BI, Qlik Sense
Broad understanding of gas turbine engine fundamentals and associated components.
Knowledge and experience in Data Governance, Architecture and Platforms
Strong learner who is comfortable learning new libraries and frameworks
Experience working in an agile environment.
Role Type: Hybrid - Employees who are working in Hybrid roles will work regularly both onsite and offsite.
RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
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