At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Boeing’s Enterprise Services organization is seeking a Senior Business Intelligence Analyst to support our transformation journey. This role is ideal for you if you’re curious, enjoy finding insights in data to support actionable & measurable outcomes, and a storyteller at your core. This opportunity is available at any of our major Boeing sites.
Enterprise Services is a team of 2,500+ employees whose collective mission is to enable the build of Boeing’s products. Enterprise Services provides strategic partnership and support to all Boeing business units through multiple service towers – creating outsized impact and value across the Enterprise. The individual in this role would be a part of Enterprise Services Technology and Systems organization.
Up to 20% travel may be required to other U.S. Boeing sites.

BASIC QUALIFICATIONS (REQUIRED SKILLS/EXPERIENCE):

• Bachelor’s degree or higher in computer science, engineering, information technology, or a related discipline
• 10+ years of experience in data analytics and/or business intelligence
• 10+ years of experience in Business Intelligence/Data Analytics tools and applications (such as IBM Cognos Analytics, SQL, Tableau, Google Analytics)
• 10+ years of experience working with Structured Query Language (SQL)
• Experience in programming languages (Python)
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform)
• Experience with big data technologies (e.g., Hadoop, Spark)

DESIRED QUALIFICATIONS (PREFERRED SKILLS/EXPERIENCE):

• Master’s degree
• Experience working on large scale, complex programs focused on data integration & analytics
• Experience understanding customer needs and tailoring material presented to your audience
• Experience delivering business and data analytics solutions in a manufacturing, engineering, or operations environment
• Experience with continuous improvement
• Experience with problem solving skills and attention to detail
• Experience effectively mentoring and coaching employees
• Experience collaborating across the globe
• Professional interpersonal and communication skills

EDUCATION

Bachelor’s Degree or Equivalent Required

• Engage broadly with leaders within Service Towers (i.e. Indirect Supply Chain, Real Estate, Facilities & Asset Management, Executive Flight) and functional partners to frame, structure, and prioritize business problems
• Mine datasets to identify information & insights to answer key questions and highlight key indicators to drive actions
• Find correlations between multiple disparate and complex data sets in various data platforms and represent their significance to the larger organization in simpler terms through presentations and stories
• Create compelling reports, dashboards, and visualizations using BI tools to present complex data
• Build and maintain data models to facilitate analysis and reporting; lead and manage ongoing maintenance, updating, and building of data reports
• Build recurring reports, dashboards, and screens using various platforms: Cognos, Tableau, Microsoft BI, PowerPivot, Power Query
• Work with extended business teams to build and map personas to critical KPIs used to understand business needs and identify relevant data points for analysis
• Understand logic and data sources behind reports and analysis to find issues, inconsistencies, and solutions
• Work with business leads and IT teams to build complex, detailed visual displays and stories out of data; Tell the story through graphs, diagrams, and data that drive actionable outcomes
• Provide insights to understand and speak with various levels (from data analyst to VP) using data in a simple format
• Work with the Data Management Office and Enterprise Services leadership team to help manage and implement data solutions as well as support data projects
• Able to travel 20% domestically