Senior Enterprise Services - Business Intelligence Analyst

Responsibilities:

The individual in this role would be a part of Enterprise Services Technology and Systems organization
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
Service Tower Leadership (Indirect Supply Chain, Real Estate, Facilities & Asset Management, Executive Flight)
External vendors and/or consultants

Skills:

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)

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
💵 Summary Pay Range: $119,850 - $187,450
🌎 Relocation assistance is not a negotiable benefit for this position
🏆 Contingent Upon Award Program
🏆 This position is not contingent upon program award

Qualifications:

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