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Analytics Engineer II

Job not on LinkedIn

🕒 Yesterday

🦌 Connecticut – Remote

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💵 $68.9k - $131.1k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Analytics Engineer

👻 Ghost score 0%

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Logo of RTX

RTX

10,000+ employees

Founded 2020

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

RTX is a globally recognized aerospace and defense company dedicated to transformative technologies and era-defining innovation. It operates through various businesses, including Collins Aerospace, Pratt & Whitney, and Raytheon, with a focus on sustainable, connected flight and smarter defense systems. RTX is committed to diversity, equity, and inclusion across the company and aims to solve the world’s most complex problems with cutting-edge technology and talent. Additionally, RTX is involved in significant projects like upgrading the F135 Engine Core and developing missile-defense systems. The company emphasizes corporate responsibility and sustainable practices.

📋 Description

• Conduct data analysis with Python to drive informed business decisions • Apply statistical methods to assess data completeness, accuracy, and reliability • Support engineering teams with root cause analysis investigations • Promote adoption of semantic models and ontologies across the organization • Design and build executable Python-based analytical models • Automate data processing, analysis, and formatting workflows • Clean, structure, and analyze datasets using Python • Deploy machine learning algorithms on numerical and categorical datasets • Integrate data across historically siloed business units • Transform complex engineering and operational data into actionable insights • Help develop and mature an end-to-end digital thread across Collins Aerospace products • Influence product performance, service optimization, and enterprise business intelligence strategies • Bridge engineering knowledge with advanced analytics and lead cross-functional initiatives that elevate data-driven decision-making

🎯 Requirements

• Degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 2 years of prior relevant experience, or an Advanced Degree in a related field • U.S. citizenship required; only U.S. citizens are authorized to access information under this program/contract • Python experience for data analysis and model development • Background in Data Science, Statistics, or an Engineering discipline preferred • Experience within the Aerospace & Defense industry or Information Systems environments preferred • Familiarity with graph databases, semantic layers, and data ontology frameworks preferred • Hands-on experience with AWS, Azure, or Apache Spark preferred • Knowledge of Git or similar version control systems and software development best practices preferred • Understanding of the full software development lifecycle preferred • Experience with Agile collaboration and project management tools such as Jira and Confluence preferred

🏖️ Benefits

• Medical, dental, and vision insurance • Three weeks of vacation for newly hired employees • Generous 401(k) plan with employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option • Tuition reimbursement program • Student Loan Repayment Program • Life insurance and disability coverage • Optional pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, and ID theft protection • Birth, adoption, and parental leave benefits • Ovia Health, fertility, and family planning • Adoption Assistance • Autism Benefit • Employee Assistance Plan, including up to 10 free counseling sessions • Healthy You Incentives wellness rewards program • Doctor on Demand virtual doctor visits • Bright Horizons child and elder care services • Teladoc Medical Experts second opinion program • Flexible work schedules • Employee Scholar Program • Paid time off and holidays • Potential annual short-term and/or long-term incentive compensation programs; payments are not guaranteed • Remote work primarily from home, with travel to the site as needed

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