The future is what you make it. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars.
ABOUT THE ROLE
In this role, you will impact the aerospace industry by utilizing statistical techniques, machine learning algorithms, and predictive modeling to identify trends, patterns, and opportunities for process improvement and optimization. You will work closely with business leaders to understand their analytical needs and provide strategic recommendations based on data insights. Additionally, you will manage relationships with external vendors and partners to leverage their expertise and capabilities in analytics.
KEY RESPONSIBILITIES
- Lead and manage analytics projects, ensuring timely delivery and alignment with business objectives
- Collaborate with cross-functional teams to define project requirements and deliver actionable insights
- Utilize statistical techniques, machine learning algorithms, and predictive modeling to identify trends and patterns
- Develop and deliver reports, dashboards, and visualizations to effectively communicate insights to stakeholders
- Manage relationships with external vendors and partners to leverage their expertise in analytics
- Ensure data integrity, accuracy, and security throughout the analytics process
- Stay updated with the latest trends and advancements in analytics and data science
- Hybrid Work Schedule Note: For the first 90 days, New Hires must be prepared to work 100% onsite M-F
- Travel: up to 10%
- Reports to: Director of Analytics & Insights
Must be a USCitizen due to contractual requirements
MUST HAVE
- 5+ years of experience in analytics, data science, or related field
- Strong analytical and problem-solving skills, with expertise in statistical analysis, machine learning, and predictive modeling
- Proficiency in data visualization tools such as Tableau, Power BI, or similar
- Proficiency in programming languages such as Python, R, or SQL
- Excellent communication and presentation skills
WE VALUE
- Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, or related field. Master's degree preferred
- Experience in SAP
- Experience in Pricing
Additional Information - JOB ID: HRD239537
- Category: Data & Analytics
- Location: 19019 N. 59th,Glendale,Arizona,85308,United States
- Exempt
- Must be a US Citizen due to contractual requirements.