Business Intelligence Analyst (Senior or Lead)

Boeing•Chicago, IL

3d•Hybrid

About The Position

Boeing’s Enterprise Services organization is seeking a Business Intelligence Analyst (Senior or Lead) to support our transformation journey. In this position, you will be part of Enterprise Services' Operational Excellence & Transformation team. We are looking for someone that is curious and looks for insights into data and turns them into practical and measurable outcomes. The ability to talk about data in business terms and language and someone who is a storyteller at their core is ideal for this role. This position requires travel to major U.S. Boeing sites as needed, likely once a quarter. This position is hybrid, meaning that the selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team’s discretion and could potentially change in the future.

Requirements

5+ years of management consulting experience
5+ years of work experience with the Microsoft Excel application using: formulas, VLookups, pivot tables, charts, filters, and linking worksheets
5+ years of experience with PowerPoint and creating presentations
Willing and able to travel occasionally to support customer needs
Must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Nice To Haves

10+ years of related work experience or an equivalent combination of education and experience
Bachelor's degree or equivalent work or military experience
Experience with Visio, Figma, and/or Miro
Lean methodology experience
Experience working on large scale programs focused on data integration, analytics, and reporting
Interpersonal and communication skills
Experience demonstrating a continuous improvement mindset
Experience taking problems and creating solutions to deliver value for customers
Experience understanding customer needs and tailoring the message presented depending on the audience
Ability to collaborate across the globe and across multiple time zones

Responsibilities

Engages broadly with Services Towers and functional partners to frame, structure, and prioritize business problems
Mine datasets to identify information & insights which are relevant to answering key questions and highlight key indicators to drive actions
Works with multiple data sets and databases that don’t link and don’t talk to each other and find ways to link them to enable the building of data sets, presentations, and stories
Uncovers meaningful information from disparate and complex data and summarize in simple terms
Understands the logic and data sources behind reports and analysis that we have been given to find issues, inconsistencies, and solutions
Must be logically oriented and create complex formulas which account for multiple sources and variables
Works with the Senior Manager of Operational Intelligence to build visual display and stories out of data; shares stories through graphs, diagrams, and data that are self-explanatory and drive useful outcomes
Provides relevant and practical insights using data in a simple to understand format using both verbal and written communication to key partners
Understands and speaks to different levels within the organization (from data analyst to VP)
Speaks in depth about the different data sets, fields, taxonomy, reporting suites, platforms, data systems, system architecture, and ERPs, in language that the relevant audiences will understand
Works with Senior Manager of Operational Intelligence to help manage and implement data solutions as well as support data projects
Builds recurring reports/dashboards and analysis using various platforms.
Lead ongoing maintenance, updating, and building of data reports
Takes directions that are inconsistent, brief, and vague and both interpret & produce materials for reaction to and know follow-up questions to deliver accurate work
Understands data systems and architecture across Enterprise Service towers and creates data plans, approaches and strategies to enable Enterprise Services to be more efficient and take advantage of data system functionality