Senior Analyst, Data Science & Analytics

Job not on LinkedIn

🔥 4 hours ago

🌵 Arizona – Remote

🌵 Arizona – Remote

💵 $68.9k - $131.1k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

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RTX

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2020

🚀 Aerospace

Aerospace • Defense • Sustainability

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

• Partner across multiple functional areas to apply software engineering methods for scalable internal tools and external research needs. • Collaborate with stakeholders across Raytheon, RTX, and the Supplier Munitions Acceleration Response team to design and deliver analytics products. • Develop agile, data‑driven solutions supporting manufacturing, engineering, business development, and supply chain functions. • Research, recommend, and deploy technical solutions that help shape organizational analytics standards. • Contribute within a larger community of advanced analytics professionals to enhance best practices and drive continuous improvement.

🎯 Requirements

• Typically requires a University Degree or equivalent experience and minimum 2 years prior relevant experience, or An Advanced Degree in a related field. • Experience with data visualization tools (Power BI, Tableau, Alteryx, or similar). • Experience with data and performing transformations. • U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. • Experience applying quantitative techniques (normalization, standardization) to cleanse and explore large, complex data sets in preparation for further analysis. • Experience in creating repeatable, reusable processes and scalable data products using Scaled Agile Framework methodology. • Experience managing projects and meeting with business stakeholders. • Experience with using data warehouses (Snowflake, SAP, etc). • Knowledge of SQL and Python coding.

🏖️ 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