Reliability Data Analytics Engineer (Associate or Experienced)

Boeing • Seal Beach, CA

5d • $98,600 - $162,150 • Onsite

About The Position

Boeing Commercial Airplanes (BCA) is seeking a Reliability Data Analytics Engineer (Associate or Experienced) with a strong background in the airline industry and expertise in data analytics to join our team in Seal Beach, CA. This role will focus on enhancing the reliability and performance of our aircraft through data-driven insights and analytics. The ideal candidate will be proficient in using Tableau to visualize data and communicate findings effectively to stakeholders, while also possessing data engineering skills to manage and analyze large datasets

Requirements

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
• 2+ years of experience in reliability engineering within the airline industry.
• Experience with SQL
• Proficiency in data analytics and visualization tools, particularly Tableau.

Nice To Haves

• Experience with coding language (Python, Java, etc.) and Machine Learning/AI.
• Experience in Aircraft Reliability and Maintainability data and Aviation Standards, ATA SPEC 2000 or ASD S5000F.
• Experience in developing automated reporting solutions and dashboards.
• Knowledge of aircraft systems and maintenance practices.

Responsibilities

• Analyze aircraft reliability data to identify trends, issues, and opportunities for improvement, leveraging data engineering techniques.
• Collaborate with cross-functional teams, including maintenance, engineering, and operations, to develop and implement reliability improvement initiatives.
• Utilize Tableau to create interactive dashboards and visualizations that provide insights into reliability metrics and performance indicators.
• Design and create various analytical reports and automated dashboards to help stakeholders identify critical issues and facilitate strategic planning.
• Develop custom SQL queries for data extraction and analysis from various databases, ensuring data integrity and accuracy.
• Conduct root cause analysis on reliability issues and develop actionable recommendations to mitigate risks.
• Monitor and report on key performance indicators (KPIs) related to aircraft reliability and maintenance.
• Create a process for reviewing input data from various sources and provide data quality metrics dashboards.
• Implement process improvements and lean methods to ensure high-quality data is readily available for analysis.
• Develop and maintain strong relationships with airline partners and internal stakeholders to ensure alignment on reliability goals and initiatives.
• Participate in industry meetings, workshops, and conferences to stay updated on best practices and emerging trends in reliability engineering and data analytics.
• Work closely with airlines and Boeing suppliers to collect and validate in-service data, ensuring comprehensive data sets for analysis.

Benefits

• At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
• The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
• The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
• Pay is based upon candidate experience and qualifications, as well as market and business considerations.
• This position offers relocation based on candidate eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees